Business process optimization method and device based on rarely-used character recognition, equipment and medium

Abstract

The invention relates to the technical field of data analysis, can be applied to business system platforms of financial science and technology, medical health and the like, and discloses a business process optimization method, device, equipment and medium based on rarely-used character recognition. Identifying characters of the identity information by using a rarely-used character database to obtain a rarely-used character identification result, if the rarely-used character identification result is that the identity information contains rarely-used characters, marking the target client as a rarely-used character client, performing special character coding on the rarely-used characters to obtain a rarely-used character code, and obtaining a business process of the rarely-used character client. And generating a rarely-used character passing voucher of the business process by using the rarely-used character code, and performing adaptive adjustment on the field verification and processing logic of the business process according to the rarely-used character passing voucher to obtain a target optimization process. According to the invention, the rarely-used character identification and processing capability is improved, so that the business process processing efficiency and accuracy are improved.

Description

Technical Field

[0001] This invention relates to the field of data analysis technology, and in particular to a business process optimization method, apparatus, equipment and medium based on the recognition of rare characters. Background Technology

[0002] Existing technologies have several shortcomings when processing customer information containing rare characters: the insurance application process is cumbersome, requiring customers to operate through specific channels and use uppercase pinyin to replace rare characters, increasing operational complexity and time costs; in the stages of insurance application, policy maintenance, and claims, the system's ability to recognize and process rare characters is limited, easily leading to process interruptions and seriously affecting customer experience; manual replacement methods cannot guarantee the consistency of information across different systems, thus affecting subsequent business such as policy signing and commission settlement; in addition, some online products do not support the input of rare characters, limiting the range of customer choices and overall restricting the universality and intelligence level of the business.

[0003] In the healthcare field, if patient information contains uncommon characters (such as names or addresses), existing systems often cannot correctly recognize or input them, and can only use pinyin or simplified characters instead. This leads to inconsistencies or difficulties in searching information in medical records, appointment registration, and examination reports. Especially in processes such as cross-hospital visits and medical insurance reimbursement, poor information exchange between systems increases the cost of manual verification, affecting the efficiency of medical services and the patient experience.

[0004] In the fintech business sector, such as account opening, credit approval, and insurance application processes, if a customer's name or identity information contains uncommon characters, the existing system is unable to support automatic recognition and processing. It often requires manual substitution or bypass processing, which not only increases the complexity of operations but also easily leads to inconsistencies in identity information. This, in turn, affects the accuracy of risk control review, compliance verification, and automated approval processes. In severe cases, it may even hinder business progress or cause compliance risks.

[0005] In summary, insufficient ability to recognize and process uncommon characters leads to cumbersome information entry, poor system compatibility, inconsistencies in information across systems, and interference with automated processes. This not only increases manual processing costs and reduces business efficiency, but also easily leads to process interruptions, service quality decline, and even compliance and risk control risks, seriously affecting user experience and the stability of business expansion.

[0006] Therefore, current technology suffers from insufficient ability to recognize and process rare characters, resulting in low efficiency and accuracy in business process handling. Summary of the Invention

[0007] This invention provides a business process optimization method, apparatus, equipment, and medium based on rare character recognition. Its main purpose is to solve the problem of low efficiency and low accuracy in business process processing due to insufficient recognition and processing capabilities for rare characters.

[0008] Firstly, to achieve the above objectives, the present invention provides a business process optimization method based on rare character recognition, comprising: Obtain a database of rare characters and the identity information of the target customer, and use the database of rare characters to identify the characters in the identity information to obtain the rare character recognition result; If the rare character recognition result indicates that the identity information contains rare characters, then the target customer will be marked as a rare character customer; The rare characters are encoded using special character encoding to obtain rare character codes; Obtain the business process of the customer with the rare character, and generate a rare character access pass for the business process using the rare character encoding; The field validation and processing logic of the business process is adaptively adjusted based on the rare character access pass to obtain the target optimized process.

[0009] Secondly, the present invention also provides a business process optimization device based on rare character recognition, comprising: The uncommon character recognition module is used to obtain an uncommon character database and the identity information of the target customer, and to recognize the characters in the identity information using the uncommon character database to obtain the uncommon character recognition result; The uncommon character customer marking module is used to mark the target customer as an uncommon character customer if the uncommon character recognition result indicates that the identity information contains uncommon characters; The uncommon character encoding module is used to encode the uncommon characters using special characters to obtain uncommon character codes; The pass generation module is used to obtain the business process of the customer with rare characters and generate a pass for the rare characters in the business process using the rare character encoding. The business process optimization module is used to adaptively adjust the field validation and processing logic of the business process based on the rare character access certificate to obtain the target optimized process.

[0010] Thirdly, the present invention also provides an electronic device, the electronic device comprising: At least one processor; and, A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor, which enables the at least one processor to perform the aforementioned business process optimization method based on rare character recognition.

[0011] Fourthly, the present invention also provides a computer-readable storage medium storing at least one computer program, which is executed by a processor in an electronic device to implement the above-described business process optimization method based on rare character recognition.

[0012] This invention acquires a database of rare characters and the identity information of target customers. It then uses the database to identify characters in the identity information, obtaining rare character recognition results. Through standardized field formats and pinyin matching, it ensures the accuracy and consistency of customer information. Particularly in scenarios involving complex characters, it reduces the probability of errors in identity verification. By automatically determining whether customer identity information contains rare characters, it effectively distinguishes between "regular customers" and "customers with rare characters." For regular customers, the system directly enters the standard business process, ensuring efficient and smooth operation; while for customers with rare characters, the system automatically initiates a dedicated rare character processing procedure to avoid errors caused by... Character-related issues causing business process interruptions or anomalies improve system efficiency and accuracy, reducing manual intervention. Special character encoding is applied to uncommon characters to obtain uncommon character codes. By extracting glyph and radical features, the system can deeply analyze the complexity of uncommon characters, thereby assigning an appropriate code length to each character. This avoids storage waste or information loss due to excessively long or short codes. The system retrieves the business processes of customers with uncommon characters and generates uncommon character access credentials for those processes using the uncommon character codes. By associating uncommon character codes with business processes, the system can intelligently handle special characters in customer information, preventing process interruptions or data errors caused by uncommon characters. Each business link can automatically adapt to the presence of uncommon characters, ensuring the accuracy and smoothness of customer information in processes such as insurance application and claims. Based on the uncommon character access credentials, the system adaptively adjusts the field validation and processing logic of the business processes to obtain the target optimized process. By enhancing the field validation content and logic, the system can better handle the presence of special characters and uncommon characters, avoiding validation errors or process interruptions caused by character issues. By generating a rare character conversion strategy and optimizing field validation, processing accuracy and flexibility were improved, resulting in smoother business processes. Furthermore, the system assesses the completeness of customer information in real time to ensure accuracy and issues are promptly flagged to prevent disruption to business processes. The optimized business processes enhance customer experience, improve rare character recognition and processing capabilities, and ultimately increase processing efficiency and accuracy. Attached Figure Description

[0013] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments of the present invention will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0014] Figure 1 This is a schematic diagram of an application environment for a business process optimization method based on rare character recognition according to an embodiment of the present invention; Figure 2 This is a flowchart illustrating a business process optimization method based on rare character recognition, provided in an embodiment of the present invention. Figure 3 This is a flowchart illustrating the process of rare character complexity analysis in a business process optimization method based on rare character recognition, provided in an embodiment of the present invention. Figure 4 This is a schematic diagram of a business process optimization device based on rare character recognition, provided in an embodiment of the present invention. Figure 5 This is a schematic diagram of the structure of an electronic device that implements a business process optimization method based on rare character recognition, according to an embodiment of the present invention. Figure 6 This is another structural schematic diagram of an electronic device that implements a business process optimization method based on rare character recognition, as provided in an embodiment of the present invention.

[0015] The objectives, features, and advantages of this invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0016] To enable those skilled in the art to better understand the technical solutions of this disclosure, and to fully understand and implement the process of how this disclosure applies technical means to solve technical problems and achieve corresponding technical effects, the technical solutions in the embodiments of this disclosure will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this disclosure, not all embodiments. The embodiments of this disclosure and the various features within them can be combined with each other without conflict, and the resulting technical solutions are all within the protection scope of this disclosure. All other embodiments obtained by those skilled in the art based on the embodiments of this disclosure without creative effort should fall within the protection scope of this disclosure.

[0017] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this disclosure are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this disclosure described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, apparatus, product, or device that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or devices.

[0018] This application provides a business process optimization method based on rare character recognition. The execution subject of this method includes, but is not limited to, at least one electronic device that can be configured to execute the device provided in this application, such as a server or a terminal. In other words, the business process optimization method based on rare character recognition can be executed by software or hardware installed on a terminal device or a server device. The server includes, but is not limited to, a single server, a server cluster, a cloud server, or a cloud server cluster. The server can be an independent server or a cloud server providing basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, content delivery networks (CDNs), and big data and artificial intelligence platforms.

[0019] This invention provides a business process optimization method based on rare character recognition, which can be applied to applications such as... Figure 1In this application environment, the client communicates with the server via a network. The server can obtain a database of rare characters and the target customer's identity information from the client. It then uses the database to identify characters in the identity information, obtaining the rare character recognition result. Through standardized field formats and pinyin matching, the accuracy and consistency of customer information are ensured. This is especially beneficial in scenarios involving complex characters, reducing the probability of errors in identity verification. By automatically determining whether customer identity information contains rare characters, the system effectively distinguishes between "regular customers" and "rare character customers." For regular customers, the system directly enters the standard business process, ensuring efficient and smooth operation; while for customers containing rare characters, the system automatically initiates a dedicated rare character processing procedure to avoid... To address business process interruptions or anomalies caused by character issues, this system improves efficiency and accuracy, reduces manual intervention, and employs special character encoding for uncommon characters. By extracting glyph and radical features, the system can deeply analyze the complexity of uncommon characters, assigning appropriate encoding lengths to each character to avoid storage waste or information loss due to excessively long or short encodings. Then, the system retrieves the business processes of customers with uncommon characters and generates uncommon character access credentials for those processes using the uncommon character encodings. By associating uncommon character encodings with business processes, the system can intelligently handle special characters in customer information, preventing process interruptions or data errors caused by uncommon characters. Each business step automatically adapts to the presence of uncommon characters, ensuring the accuracy and smoothness of customer information in processes such as insurance application and claims. Finally, based on the uncommon character access credentials, the system adaptively adjusts the field validation and processing logic of the business processes to obtain the target optimized process. By enhancing the field validation content and logic, the system can better handle the presence of special characters and uncommon characters, avoiding validation errors or process interruptions caused by character issues. By generating a rare character conversion strategy and optimizing field validation, processing accuracy and flexibility are improved, making business processes smoother. Furthermore, the completeness of customer information is assessed in real time to ensure accuracy, and alerts are issued immediately upon detecting problems to guarantee uninterrupted business processes. The optimized business process enhances customer experience, improves rare character recognition and processing capabilities, thereby increasing processing efficiency and accuracy. Finally, the optimized process output is fed back to the user client. The client can be, but is not limited to, various personal computers, laptops, smartphones, tablets, and portable wearable devices. The server can be implemented using a standalone server or a server cluster consisting of multiple servers. The invention will be described in detail below through specific embodiments.

[0020] The following is an explanation of this invention. By associating the encoding of rare characters with business processes, the system can intelligently process special characters in customer information, avoiding process interruptions or data errors caused by rare characters. Each business link can automatically adapt to the presence of rare characters, ensuring the accuracy and smoothness of customer information in processes such as insurance application and claims. By generating rare character conversion strategies and optimizing field validation, processing accuracy and flexibility are improved. Furthermore, the system can judge the completeness of customer information in real time to ensure accuracy, and immediately alert when problems are detected to ensure that business processes are not affected. The optimized business processes improve customer experience and increase business process processing efficiency and accuracy.

[0021] Reference Figure 2 The diagram shown is a flowchart illustrating a business process optimization method based on rare character recognition according to an embodiment of the present invention. In this embodiment, the business process optimization method based on rare character recognition includes: S1. Obtain a database of rare characters and the identity information of the target customer, and use the database of rare characters to identify the characters in the identity information to obtain the rare character recognition result.

[0022] In this embodiment of the invention, the rare character database is a database containing a large number of uncommon or difficult-to-recognize Chinese character shapes and related information (such as pinyin, definitions, etc.) to assist in character recognition and processing. The target customer's identity information refers to personal data used to uniquely identify the customer, including basic information such as name, gender, age, contact information, and address. The identity information is formatted uniformly, and the character shapes and pinyin are extracted from the standard customer information. The character shapes are compared one by one with the rare character database. If the character shape does not exist in the database, the identity information is considered to contain no rare characters; if the character shape exists, it is matched against the pinyin to determine if the match is successful, ultimately yielding the recognition result of whether the identity information contains rare characters.

[0023] In specific healthcare scenarios, this technology can be used for patient identification and verification, especially when processing names or medical records containing uncommon characters. By recognizing uncommon characters, hospitals can accurately identify and process any rare characters when entering patient information, thus avoiding medical errors caused by misidentification. This is of great significance in electronic medical record management, patient authentication, and medical insurance reimbursement, helping medical institutions improve the accuracy and security of information management.

[0024] In specific fintech scenarios, this can be applied to processes such as customer identity verification, credit card applications, and loan approvals. When financial institutions process customer names, addresses, or other identification information, rare character recognition helps the system accurately identify and parse customer data containing complex characters, ensuring accurate entry and cross-system sharing of user information and preventing identity verification errors caused by character mismatches. Furthermore, this can improve the accuracy of risk control systems, prevent the emergence of false identity information, and safeguard the security of financial transactions.

[0025] In this embodiment of the invention, the step of using the rare character database to recognize characters in the identity information to obtain rare character recognition results includes: The identity information is processed to standardize the field format, resulting in standard customer information; Extract the character glyphs and pinyin of the standard customer information; The character glyphs are compared one by one with the rare character glyphs in the rare character database to obtain the comparison results; Based on the comparison results, determine whether the rare character shape exists in the rare character database; If the comparison result indicates that the rare character shape does not exist in the rare character database, then the absence of rare characters in the identity information will be taken as the rare character recognition result. If the comparison result indicates that the rare character shape exists in the rare character database, then the pinyin corresponding to the rare character shape is matched with the pinyin of the character to obtain a matching result; Based on the matching result, determine whether the pinyin corresponding to the rare character shape and the pinyin of the character are a match failure or a match success; If the matching result is that the pinyin corresponding to the rare character shape fails to match the pinyin of the character, the character shape will be re-compared in the rare character database; When the matching result is that the pinyin corresponding to the rare character shape matches the pinyin of the character, the rare character contained in the identity information is taken as the rare character recognition result.

[0026] In detail, by standardizing identity information, customer data in different formats is unified into a uniform field format. The system identifies and parses each field, such as name, address, and phone number, removing redundant or inconsistent parts and converting them into a standardized format. This ensures that all fields conform to preset specifications, such as uniform character encoding, date format, and number format, ultimately generating a clear and standardized customer information for subsequent processing and use.

[0027] The system extracts the glyph and pinyin of each character from standard customer information. Then, it compares each character's glyph with those in a database of rare characters. If no rare character corresponds to a given glyph in the database, the identity information is considered free of rare characters. If a rare character exists in the database, its pinyin is further matched with the extracted character's pinyin. Based on the matching results, the system determines whether the pinyin matches, thus confirming whether the character is rare.

[0028] Whether a character is rare is determined by comparing its pinyin with that of the given character. If the match fails, the character is re-compared to a rare character database for further confirmation. If the match succeeds, the character is confirmed as rare and is used as the rare character identification result, thereby updating the identity information and ensuring accurate identification and labeling of customer information containing rare characters.

[0029] By utilizing a database of uncommon characters for accurate identification of identity information, customer data containing uncommon characters can be effectively identified and processed, avoiding information errors caused by character misidentification. Through standardized field formats and pinyin matching, the accuracy and consistency of customer information are ensured, especially in scenarios involving complex characters, reducing the probability of errors in identity verification. This identification mechanism helps improve the efficiency and reliability of data processing, ensuring the accurate transmission and processing of customer information across various systems, and significantly enhancing service quality and security.

[0030] S2. Determine whether the identity information contains rare characters based on the rare character recognition result. If the rare character recognition result indicates that the identity information does not contain rare characters, then S3. Mark the target customer as a regular customer, and process the target customer's business processes (such as insurance application, policy maintenance, claims, etc.) normally without triggering the rare character processing process. The target customer's business application will directly enter the standard process without additional encoding mapping or compatibility verification, ensuring the efficiency and smoothness of the process. If the rare character recognition result indicates that the identity information contains rare characters, then S4. Mark the target customer as a rare character customer. The system will associate the recognized rare characters with the target customer's identity information and add a "rare character customer" tag to the customer database. All subsequent business processing for the customer will automatically enter a dedicated rare character processing process to ensure that the customer can complete the insurance application, policy maintenance, claims, etc. smoothly without process interruption or abnormality due to rare characters.

[0031] By automatically determining whether customer identity information contains uncommon characters, the system can effectively distinguish between "regular customers" and "customers with uncommon characters," and take corresponding processing strategies based on the identification results. For regular customers, the system directly enters the standard business process, ensuring efficient and smooth operation; while for customers with uncommon characters, the system automatically initiates a special uncommon character processing procedure to avoid business process interruptions or anomalies caused by character issues. This approach improves the system's efficiency and accuracy, reduces manual intervention, and ensures that all business processes for customers can be completed smoothly.

[0032] S5. Perform special character encoding on the rare characters to obtain rare character codes.

[0033] In this embodiment of the invention, the glyph and radical features of rare characters are extracted, and the complexity of the rare characters is analyzed. Based on the analysis results, the encoding length of the rare characters is dynamically adjusted to adapt to their complexity. The rare characters are initially encoded according to the encoding rules and the adjusted encoding length. The initial encoding is then processed using information compression technology to finally obtain an efficient rare character encoding.

[0034] In specific healthcare scenarios, it can be used for electronic medical records, patient information management, and medical data exchange. When a patient's name or other information contains uncommon characters, it is processed through special character encoding to ensure standardized data storage and transmission. This effectively reduces data storage redundancy caused by character complexity and avoids information loss or misunderstanding when exchanging data between multiple hospitals or systems, improving the accuracy and sharing efficiency of patient information, thereby enhancing the quality and safety of healthcare services.

[0035] In specific fintech scenarios, it can be used for customer authentication and financial transaction processing. When dealing with customer information involving complex names or addresses, using uncommon character encoding ensures consistent and standardized storage of characters in the database. Especially in cross-platform data exchange, uncommon character encoding can improve system compatibility, reduce character recognition errors, and ensure the accuracy and security of transactions. It can also reduce errors caused by character parsing when processing user signatures, credit reports, and other information, effectively preventing the risks of identity theft and information leakage.

[0036] In this embodiment of the invention, the step of performing special character encoding on the rare character to obtain the rare character encoding includes: Extract rare characters from the identity information as target rare characters, and extract the character shape features and radical features of the target rare characters; The complexity of the target rare character is analyzed based on the character shape features and the radical features to obtain the rare character complexity. The encoding length of the target rare character is dynamically adjusted based on the complexity of the rare character to obtain the target encoding length; Obtain the encoding rules, and use the encoding rules and the encoding length to encode the target rare character to obtain the initial encoding; The initial encoding is compressed to obtain the rare character encoding.

[0037] In detail, the system identifies the overall structure of rare characters, including the number of strokes, stroke type, and character structure. It also extracts radical information from the character's form, identifying the radical category and components. Through the extraction of these features, the system can better understand and describe the composition of rare characters, facilitating subsequent encoding processing and thus improving the accuracy of character recognition and data processing.

[0038] Figure 3 This is a flowchart illustrating the process of rare character complexity analysis in a business process optimization method based on rare character recognition, provided as an embodiment of the present invention.

[0039] In this embodiment of the invention, the step of analyzing the complexity of the target rare character based on the character shape features and the radical features to obtain the rare character complexity includes: Obtain the number of strokes, stroke type, and character structure from the character shape features, and perform a weighted sum of the number of strokes, stroke type, and character structure to obtain the character shape complexity; Obtain the radical category of the radical feature, analyze the rarity of the radical category, and generate radical weights based on the rarity obtained from the analysis. Obtain the radical components of the radical feature, count the number of components of the radical components, and generate radical weights based on the number of components; The radical and component features are weighted and summed according to the radical weight and the component weight to obtain the radical and component complexity. By comprehensively analyzing the character shape complexity and the radical complexity, the complexity of rare characters is obtained.

[0040] In detail, the complexity of a character is calculated by analyzing its stroke count, stroke type, and character structure. The number of each stroke, stroke type (e.g., horizontal, vertical, left-falling, right-falling strokes), and overall character structure features are extracted. These features are then weighted and summed, with each feature assigned a different weight. A comprehensive character complexity value is calculated based on the degree of influence on the character's complexity, and this value is used to measure the overall complexity of the character.

[0041] This system extracts the radical features of rare characters and identifies the radical category to which each feature belongs. It then analyzes the rarity of different radicals in the language and determines the importance of each radical in the character's form based on its rarity. Radicals with higher rarity are assigned higher weights, and those with lower rarity are assigned lower weights. This rarity-based radical weighting provides a more accurate basis for character complexity analysis and rare character recognition.

[0042] The system identifies each radical component in the radical features, counts the number of each radical component, understands the frequency of each radical component in the character shape, and generates corresponding radical weights based on the number of components: components that appear more frequently are assigned higher weights, and components that appear less frequently are assigned lower weights. This allows the system to evaluate the complexity of the character shape based on the number of components.

[0043] The generated radical weights and component weights are applied to each radical and component, and the overall complexity of each radical is calculated by weighted summation to obtain an overall radical complexity value, which reflects the complexity of radicals in rare characters.

[0044] By using character form complexity and radical complexity as key indicators, and weighting them according to their relative importance, a comprehensive analysis of these complexity values ​​can quantify the overall complexity of rare characters, reflecting the influence of character form and radical features on the semantic composition.

[0045] In detail, the complexity values ​​of rare characters are analyzed to determine the complexity of their shapes and radicals. Rare characters with higher complexity are assigned longer code lengths to describe their features in more detail; characters with lower complexity are assigned shorter code lengths to optimize storage and processing efficiency. Through this dynamic adjustment mechanism, the system can flexibly allocate code lengths based on character complexity, ensuring that the code accurately represents the character's features while maintaining high efficiency in processing and storage.

[0046] The acquired encoding rules typically include encoding standards for features such as character shape, pinyin, and radicals. Based on the previously dynamically adjusted target encoding length, and in conjunction with the encoding rules, the various features of rare characters (such as character shape, radicals, and pinyin) are encoded. By applying the encoding rules and the target encoding length, an initial encoding for the rare character is generated. This initial encoding accurately represents the features of the rare character while ensuring compliance with a unified encoding standard.

[0047] By analyzing the redundant information in the initial encoding and using a compression algorithm to process the redundant information, such as removing duplicate parts or adopting a more compact representation, the information in the initial encoding is compressed into a smaller volume while maintaining its integrity and parsability. The resulting rare character encoding not only saves storage space but also improves the efficiency of data transmission, making the processing of rare characters in the system more efficient.

[0048] Accurate encoding of rare characters using special character encoding techniques can effectively improve the efficiency and accuracy of character processing. By extracting glyph and radical features, the system can deeply analyze the complexity of rare characters, thereby assigning an appropriate encoding length to each character and avoiding storage waste or information loss caused by excessively long or short encodings. Further encoding compression optimizes storage space and data transmission efficiency, making the system more efficient when processing large numbers of rare characters. The entire encoding process not only ensures accurate character representation but also enhances the system's processing power and response speed, making it suitable for scenarios requiring efficient storage and transmission, such as large-scale text processing, data exchange, and database storage.

[0049] S6. Obtain the business process of the customer with the rare character, and generate a rare character access pass for the business process using the rare character encoding.

[0050] In this embodiment of the invention, the business process is associated with the rare character code, and the access certificate template is filled with the target customer's identity information, rare character code and business association process to obtain the initial access certificate. The validity of the initial access certificate is checked and it is determined whether the initial access certificate is valid, and finally a valid rare character access certificate is obtained.

[0051] In specific healthcare scenarios, it can be used for patient authentication and access control of medical services. By associating patient identity information with uncommon character codes, a pass credential conforming to medical business processes is generated, ensuring the accuracy of patient identification in various medical operations. This can be used for processes such as accessing medical records, making appointments, and managing medications, reducing information errors or service disruptions caused by uncommon characters in names, and ensuring that patients can enjoy medical services smoothly and safely.

[0052] In specific fintech scenarios, this technology can be used for customer authentication and secure access to financial services. By associating customer identity information with uncommon character codes, specific access credentials are generated, which can be used to verify the customer's identity in financial transactions such as banking, lending, and payments. When a customer's name or other critical information contains uncommon characters, the access credential technology ensures that errors do not occur due to character parsing issues in cross-platform or cross-institutional financial services, effectively preventing identity fraud and information errors, and ensuring the security of financial transactions.

[0053] In this embodiment of the invention, generating the rare character access pass for the business process using the rare character encoding includes: The business process and the rare character encoding are associated to obtain the business association process; Obtain a pass template, and fill the pass template with the target customer's identity information, the rare character encoding, and the business association process to obtain an initial pass; The validity of the initial access pass is checked, and the check result is obtained; Determine whether the detection result confirms the validity of the initial access pass; If the detection result indicates that the initial pass is invalid, the initial pass is corrected to obtain a pass with rare characters. If the detection result indicates that the initial pass is valid, then the initial pass will be used as a pass for uncommon characters.

[0054] In detail, the system obtains information about each step of the business process, such as insurance application and claims, and matches it with the codes for uncommon characters. It then links the information related to uncommon characters with the business processing steps. When customer information contains uncommon characters, the business process will automatically introduce the corresponding coding rules to ensure that subsequent operations can proceed smoothly and that the process will not be interrupted or abnormal due to uncommon characters.

[0055] Extract necessary personal data from customer information and combine it with uncommon character encoding to ensure accurate application of special character processing. Based on the established business association process, connect the relevant business process information with the customer's identity data and fill it into the corresponding fields in the access credential template to generate an initial access credential, which serves as the customer's authentication credential in subsequent business processes, ensuring the accurate transmission of identity information and the smooth progress of business processes.

[0056] The data in the voucher is verified to check the completeness and accuracy of customer identity information, codes, and business process connections, and to confirm the correct application of uncommon character codes. By comparing it with preset standard rules, it can be determined whether the voucher meets the prescribed format and requirements, and the test results will reflect the validity of the voucher.

[0057] If the test results show that the initial access pass is valid, it will be directly used as the final access pass for uncommon characters and proceed to subsequent business processes. If the test results show that the initial access pass is invalid, the pass will be corrected, adjusting any errors or non-compliant parts to ensure its accuracy and validity. The corrected pass will be regenerated and used as the final access pass for uncommon characters, ensuring that the customer's business processes are not interrupted or disrupted due to pass issues.

[0058] By generating access passes for uncommon characters, the system effectively ensures smooth and error-free business processes when handling customer information containing such characters. By associating uncommon character codes with business processes, the system can intelligently handle special characters in customer information, preventing process interruptions or data errors caused by uncommon characters. Each business step automatically adapts to the presence of uncommon characters, ensuring the accuracy and smoothness of customer information in processes such as insurance application and claims. Furthermore, the pass validity detection and correction mechanism further guarantees the integrity and accuracy of the passes, thereby improving the efficiency and reliability of business processing, reducing manual intervention, and optimizing the customer experience, making it particularly suitable for managing complex characters.

[0059] S7. Based on the rare character access pass, adaptively adjust the field validation and processing logic of the business process to obtain the target optimized process.

[0060] In this embodiment of the invention, fields in the business process affected by the uncommon character access pass are identified, corresponding uncommon character conversion strategies are generated, and field validation logic is enhanced to adapt to these special fields. The business process is then adaptively optimized in conjunction with the uncommon character access pass to obtain an initial optimized process. In actual business processing, the system processes customer information according to the optimized process and checks the completeness of the information. Based on the completeness, the final target optimized process is confirmed.

[0061] In specific healthcare scenarios, this system can be used for patient information verification and processing in hospital management systems. When a patient's name or other medical information contains uncommon characters, a strategy for converting these characters is generated, and the field verification logic is enhanced to ensure that the hospital information system can accurately identify and process complex characters, preventing medical errors caused by mis-entered names. During patient diagnosis, appointment scheduling, and medication dispensing, the system checks the completeness of patient information in real time. If missing or incorrect information is detected, the system triggers an alarm to ensure the smooth operation of medical services.

[0062] In specific fintech scenarios, this can be used for customer identity verification and information validation in financial services. For example, when processing customer loan applications, credit card applications, or bank account openings, the system optimizes field validation logic based on uncommon character encoding and conversion strategies to ensure accurate processing even if customer information contains uncommon characters, avoiding identity recognition problems caused by character errors. During business processing, if incomplete customer information is detected, the system will promptly issue an alert, ensuring the smooth operation of every financial service and reducing risks caused by data issues.

[0063] In this embodiment of the invention, the adaptive adjustment of the field validation and processing logic of the business process based on the rare character access certificate to obtain the target optimized process includes: Obtain the field validation content of the business process, identify the affected fields of the field validation content, and obtain the target business field; Generate a corresponding uncommon character conversion strategy based on the target business field; Obtain the field validation logic of the business process, and enhance the field validation logic based on the target business field to obtain the validation enhancement logic; The business process is adaptively optimized based on the rare character access pass, the rare character conversion strategy, and the verification enhancement logic to obtain the initial optimized process; The initial optimization process is used to process the business of the target customer, and it is determined whether the identity information of the target customer is complete during the business processing. If the target customer's identity information is incomplete during the business processing, an alarm will be triggered; If the target customer's identity information is complete during the business processing, then the initial optimization process will be used as the target optimization process.

[0064] In detail, the validation rules for each field in the business process are analyzed to identify which fields may be affected by uncommon character encoding or character format. For these affected fields, key fields related to customer identity information, special characters, or business rules are extracted to generate target business fields. These target business fields will be used for subsequent validation and optimization processes to ensure correct field validation and process adjustments when processing customer information containing uncommon characters.

[0065] Based on the identified target business fields, analyze which fields may contain uncommon characters and determine how to handle these characters. Develop corresponding conversion rules for each affected field, such as converting uncommon characters to standard characters or using alternative symbols. Ensure that the format of these fields conforms to the business process requirements. The generated uncommon character conversion strategy will be applied to the business process to ensure that the handling of uncommon characters throughout the process is both compliant with regulations and does not affect the smooth operation of the business.

[0066] The system analyzes existing field validation logic, identifying areas that may require adjustment or enhancement, particularly fields related to uncommon characters. Based on the characteristics of the target business fields, the validation logic is adjusted, incorporating rules for handling uncommon characters, such as character format validation, encoding checks, or substitution rules. Through these enhancements, the validation logic can better adapt to customer information containing uncommon characters, ensuring data accuracy and consistency while improving the robustness and adaptability of business processes.

[0067] In this embodiment of the invention, the step of adaptively optimizing the business process based on the rare character access pass, the rare character conversion strategy, and the verification enhancement logic to obtain an initial optimized process includes: The rare character conversion strategy and the verification enhancement logic are used to convert the rare character access certificate to obtain customer conversion information; Obtain the processing path of the business process, filter the processing path according to the customer conversion information, and obtain the target path; The target path is monitored in real time, and the business process is adjusted in real time based on the monitoring data to obtain an initial optimized process.

[0068] In detail, the system applies a rare character conversion strategy to convert rare characters identified in the pass into standard characters or use preset alternative symbols. The verification enhancement logic ensures that the converted characters conform to the format and requirements in the business process, avoiding data errors or format inconsistencies caused by character misprocessing. After character conversion and verification enhancement, customer information will generate customer conversion information to ensure that the customer's identity information is both accurate and meets the system requirements in subsequent business processing.

[0069] The system identifies the steps or operations that may be involved in different processing paths within the business process. Based on the converted customer information, it examines which processing paths are suitable for the target customer, especially in cases involving uncommon characters or other special characters. Through matching and filtering customer conversion information, the system ultimately determines the most suitable target path, thereby ensuring that the customer's business process can be executed smoothly and accurately.

[0070] The system collects and analyzes operational data along the target path in real time, such as customer information processing progress, character conversion status, and the effectiveness of handling uncommon characters. Based on this monitoring data, the system dynamically adjusts business processes, optimizing operational steps and logic to address potential problems or changes. This real-time optimization during process execution ensures a smooth and efficient processing path, ultimately resulting in an initial optimized process that provides more accurate and flexible support for subsequent business operations.

[0071] In detail, the optimized process executes each operation step by step, including identity verification, data validation, and handling of uncommon characters, while simultaneously checking the completeness of customer information in real time. By comparing various customer data, the system determines whether any information is missing or abnormal. If incomplete customer information is found during business processing, the system immediately identifies it and triggers corresponding alerts, prompting for the information to be supplemented or corrected. This ensures that customer information remains complete and accurate throughout the entire business process, avoiding process interruptions or errors due to missing information. If the customer information is complete and meets the requirements, the system confirms that the initial optimized process has been successfully applied and uses it as the target optimized process to continue executing subsequent business processes.

[0072] By enhancing the content and logic of field validation, we can better handle the presence of special characters and uncommon words, avoiding validation errors or process interruptions caused by character issues. By generating uncommon character conversion strategies and optimizing field validation, we have improved processing accuracy and flexibility, making business processes smoother. Furthermore, we can assess the completeness of customer information in real time, ensuring accuracy and issuing immediate alerts when problems are detected, guaranteeing uninterrupted business processes. The optimized business processes improve customer experience and enhance processing efficiency and accuracy.

[0073] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0074] like Figure 4 The diagram shown is a functional block diagram of a business process optimization device based on rare character recognition provided in an embodiment of the present invention.

[0075] This disclosure provides a business process optimization device based on rare character recognition, which corresponds one-to-one with the business process optimization method based on rare character recognition described in the above embodiments. For example... Figure 4 As shown, the business process optimization device 100 based on rare character recognition can be installed in an electronic device. According to its functions, the business process optimization device 100 includes a rare character recognition module 101, a rare character customer tagging module 102, a rare character encoding module 103, a pass generation module 104, and a business process optimization module 105. Detailed descriptions of each functional module are as follows: The uncommon character recognition module 101 is used to obtain an uncommon character database and the identity information of the target customer, and to use the uncommon character database to recognize the characters in the identity information to obtain the uncommon character recognition result; The uncommon character customer marking module 102 is used to mark the target customer as an uncommon character customer if the uncommon character recognition result indicates that the identity information contains uncommon characters; The uncommon character encoding module 103 is used to perform special character encoding on the uncommon characters to obtain uncommon character codes; The pass generation module 104 is used to obtain the business process of the customer with rare characters and generate a pass for the business process using the rare character encoding. The business process optimization module 105 is used to adaptively adjust the field validation and processing logic of the business process based on the rare character access certificate to obtain the target optimized process.

[0076] In one embodiment, the uncommon character recognition module 101 performs character recognition on the identity information using the uncommon character database to obtain uncommon character recognition results, including: The identity information is processed to standardize the field format, resulting in standard customer information; Extract the character glyphs and pinyin of the standard customer information; The character glyphs are compared one by one with the rare character glyphs in the rare character database to obtain the comparison results; Based on the comparison results, determine whether the rare character shape exists in the rare character database; If the comparison result indicates that the rare character shape does not exist in the rare character database, then the absence of rare characters in the identity information will be taken as the rare character recognition result. If the comparison result indicates that the rare character shape exists in the rare character database, then the pinyin corresponding to the rare character shape is matched with the pinyin of the character to obtain a matching result; Based on the matching result, determine whether the pinyin corresponding to the rare character shape and the pinyin of the character are a match failure or a match success; If the matching result is that the pinyin corresponding to the rare character shape fails to match the pinyin of the character, the character shape will be re-compared in the rare character database; When the matching result is that the pinyin corresponding to the rare character shape matches the pinyin of the character, the rare character contained in the identity information is taken as the rare character recognition result.

[0077] In one embodiment, the uncommon character encoding module 103 performs special character encoding on the uncommon character to obtain the uncommon character encoding, including: Extract rare characters from the identity information as target rare characters, and extract the character shape features and radical features of the target rare characters; The complexity of the target rare character is analyzed based on the character shape features and the radical features to obtain the rare character complexity. The encoding length of the target rare character is dynamically adjusted based on the complexity of the rare character to obtain the target encoding length; Obtain the encoding rules, and use the encoding rules and the encoding length to encode the target rare character to obtain the initial encoding; The initial encoding is compressed to obtain the rare character encoding.

[0078] In one embodiment, the rare character encoding module 103 performs a complexity analysis of the target rare character based on the character shape features and the radical features to obtain the rare character complexity, including: Obtain the number of strokes, stroke type, and character structure from the character shape features, and perform a weighted sum of the number of strokes, stroke type, and character structure to obtain the character shape complexity; Obtain the radical category of the radical feature, analyze the rarity of the radical category, and generate radical weights based on the rarity obtained from the analysis. Obtain the radical components of the radical feature, count the number of components of the radical components, and generate radical weights based on the number of components; The radical and component features are weighted and summed according to the radical weight and the component weight to obtain the radical and component complexity. By comprehensively analyzing the character shape complexity and the radical complexity, the complexity of rare characters is obtained.

[0079] In one embodiment, the access pass generation module 104 generates an access pass for the business process using the rare character encoding, including: The business process and the rare character encoding are associated to obtain the business association process; Obtain a pass template, and fill the pass template with the target customer's identity information, the rare character encoding, and the business association process to obtain an initial pass; The validity of the initial access pass is checked, and the check result is obtained; Determine whether the detection result confirms the validity of the initial access pass; If the detection result indicates that the initial pass is invalid, the initial pass is corrected to obtain a pass with rare characters. If the detection result indicates that the initial pass is valid, then the initial pass will be used as a pass for uncommon characters.

[0080] In one embodiment, when the business process optimization module 105 adaptively adjusts the field validation and processing logic of the business process based on the rare character access certificate to obtain the target optimized process, it includes: Obtain the field validation content of the business process, identify the affected fields of the field validation content, and obtain the target business field; Generate a corresponding uncommon character conversion strategy based on the target business field; Obtain the field validation logic of the business process, and enhance the field validation logic based on the target business field to obtain the validation enhancement logic; The business process is adaptively optimized based on the rare character access pass, the rare character conversion strategy, and the verification enhancement logic to obtain the initial optimized process; The initial optimization process is used to process the business of the target customer, and it is determined whether the identity information of the target customer is complete during the business processing. If the target customer's identity information is incomplete during the business processing, an alarm will be triggered; If the target customer's identity information is complete during the business processing, then the initial optimization process will be used as the target optimization process.

[0081] In one embodiment, when the business process optimization module 105 performs adaptive optimization of the business process based on the uncommon character access pass, the uncommon character conversion strategy, and the verification enhancement logic to obtain an initial optimized process, it includes: The rare character conversion strategy and the verification enhancement logic are used to convert the rare character access certificate to obtain customer conversion information; Obtain the processing path of the business process, filter the processing path according to the customer conversion information, and obtain the target path; The target path is monitored in real time, and the business process is adjusted in real time based on the monitoring data to obtain an initial optimized process.

[0082] In this invention, a business process optimization device based on rare character recognition is described. First, the invention acquires a rare character database and the target customer's identity information. Then, it uses the rare character database to recognize characters in the identity information, obtaining rare character recognition results. Through field format standardization and pinyin matching, the accuracy and consistency of customer information are ensured. Especially in scenarios involving complex characters, this reduces the probability of errors in identity verification. By automatically determining whether the customer's identity information contains rare characters, it effectively distinguishes between "regular customers" and "rare character customers." For regular customers, the system directly enters the standard business process, ensuring efficient and smooth operation; while for customers containing rare characters, the system automatically initiates... A specialized process for handling rare characters avoids business process interruptions or anomalies caused by character issues, improving system efficiency and accuracy while reducing manual intervention. Rare characters are specially encoded to obtain rare character codes. By extracting glyph and radical features, the system can deeply analyze the complexity of rare characters, thereby assigning an appropriate code length to each character. This avoids storage waste or information loss due to excessively long or short codes. The system retrieves the business processes of customers with rare characters and then generates rare character access credentials for those processes using the rare character codes. By associating rare character codes with business processes, the system can intelligently handle special characters in customer information, preventing process interruptions or data errors caused by rare characters. Each business step automatically adapts to the presence of rare characters, ensuring the accuracy and smoothness of customer information in processes such as insurance application and claims. Finally, based on the rare character access credentials, the field validation and processing logic of the business processes are adaptively adjusted to obtain the target optimized process. By enhancing the field validation content and logic, the system can better handle the presence of special characters and rare characters, avoiding validation errors or process interruptions caused by character issues. By generating a rare character conversion strategy and optimizing field validation, processing accuracy and flexibility are improved, making business processes smoother. Furthermore, the completeness of customer information is assessed in real time to ensure accuracy, and alarms are triggered immediately when problems are detected, ensuring that business processes are not affected. The optimized business process enhances customer experience, improves rare character recognition and processing capabilities, thereby increasing business process efficiency and accuracy. Specific limitations of a rare character-based business process optimization device can be found in the above description of a rare character-based business process optimization method, and will not be repeated here. Each module in the aforementioned rare character-based business process optimization device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device, or stored in the memory of a computer device in software form, so that the processor can call and execute the corresponding operations of each module.

[0083] In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as follows: Figure 5 As shown, the computer device includes a processor, memory, network interface, and database connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile and / or volatile storage media and internal memory. The non-volatile storage media stores the operating system, computer programs, and database. The internal memory provides an environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The network interface is used to communicate with external clients via a network connection. When the computer program is executed by the processor, it implements the functions or steps of a business process optimization method based on rare character recognition on the server side.

[0084] In one embodiment, a computer device is provided, which may be a client, and its internal structure diagram may be as follows: Figure 6 As shown, the computer device includes a processor, memory, network interface, display screen, and input devices connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The network interface is used to communicate with an external server via a network connection. When the computer program is executed by the processor, it implements client-side functions or steps of a business process optimization method based on rare character recognition.

[0085] In one embodiment, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to perform the following steps: Obtain a database of rare characters and the identity information of the target customer, and use the database of rare characters to identify the characters in the identity information to obtain the rare character recognition result; If the rare character recognition result indicates that the identity information contains rare characters, then the target customer will be marked as a rare character customer; The rare characters are encoded using special character encoding to obtain rare character codes; Obtain the business process of the customer with the rare character, and generate a rare character access pass for the business process using the rare character encoding; The field validation and processing logic of the business process is adaptively adjusted based on the rare character access pass to obtain the target optimized process.

[0086] In the several embodiments provided by this invention, it should be understood that the disclosed devices and apparatuses can be implemented in other ways. For example, the system embodiments described above are merely illustrative; for instance, the division of modules is only a logical functional division, and other division methods may be used in actual implementation.

[0087] Furthermore, the functional modules in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or in the form of hardware plus software functional modules.

[0088] Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the invention is defined by the appended claims rather than the foregoing description. Thus, all variations falling within the meaning and scope of equivalents of the claims are intended to be embraced within the invention. No appended diagram markings in the claims should be construed as limiting the scope of the claims.

[0089] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0090] In some embodiments of this example, a computer-readable storage medium is provided, on which a computer program is stored, characterized in that the computer program, when executed by a processor, implements the steps of the method described in the above embodiments.

[0091] The readable storage medium of the present invention stores a computer program, which, when executed by a processor of an electronic device, can perform the following: Obtain a database of rare characters and the identity information of the target customer, and use the database of rare characters to identify the characters in the identity information to obtain the rare character recognition result; If the rare character recognition result indicates that the identity information contains rare characters, then the target customer will be marked as a rare character customer; The rare characters are encoded using special character encoding to obtain rare character codes; Obtain the business process of the customer with the rare character, and generate a rare character access pass for the business process using the rare character encoding; The field validation and processing logic of the business process is adaptively adjusted based on the rare character access pass to obtain the target optimized process.

[0092] It should be noted that the functions or steps that can be implemented by the computer-readable storage medium or computer device described above can be referred to the relevant descriptions on the server side and client side in the foregoing method embodiments. To avoid repetition, they will not be described one by one here.

[0093] Computer-readable storage media may also store at least one computer-executable program / instruction, such as computer-readable instructions. Computer-readable storage media include, but are not limited to, volatile memory and / or non-volatile memory. Volatile memory may include, for example, random access memory (RAM) and / or cache memory. Computer-readable storage media may include, for example, read-only memory (ROM), hard disk, flash memory, etc. For example, a non-transitory computer-readable storage medium may be connected to a computing device such as a computer, and then, when the computing device executes the computer-readable instructions stored on the computer-readable storage medium, the various methods described above can be performed.

[0094] In addition, the computer device may include (but is not limited to) a data bus, an input / output (I / O) bus, a display, and input / output devices (e.g., keyboard, mouse, speakers, etc.).

[0095] The processor can communicate with external devices via the I / O bus through wired or wireless networks.

[0096] In one embodiment, the at least one computer-executable instruction may also be compiled into or comprise a software product / computer program product, wherein one or more computer-executable instructions are executed by a processor to perform the steps of the various functions and / or methods in the embodiments described herein.

[0097] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments described above. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0098] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is used as an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0099] In the embodiments provided in this disclosure, it should be understood that the disclosed apparatus and methods can also be implemented in other ways. The apparatus embodiments described above are merely illustrative; for example, the flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods, and computer program products according to various embodiments of this disclosure. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions marked in the blocks may occur in a different order than those marked in the drawings. For example, two consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in a block diagram and / or flowchart, and combinations of blocks in block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or action, or using a combination of dedicated hardware and computer instructions.

[0100] It should be noted that, in this disclosure, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitation, an element limited by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

[0101] The above-described embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included within the protection scope of the present invention.

[0102] It should be noted that if any software tools or components not belonging to our company appear in the embodiments of this application, they are merely for illustrative purposes and do not represent actual use.

Claims

1. A business process optimization method based on rare character recognition, characterized in that, The method includes: Obtain a database of rare characters and the identity information of the target customer, and use the database of rare characters to identify the characters in the identity information to obtain the rare character recognition result; If the rare character recognition result indicates that the identity information contains rare characters, then the target customer will be marked as a rare character customer; The rare characters are encoded using special character encoding to obtain rare character codes; Obtain the business process of the customer with the rare character, and generate a rare character access pass for the business process using the rare character encoding; The field validation and processing logic of the business process is adaptively adjusted based on the rare character access pass to obtain the target optimized process.

2. The business process optimization method based on rare character recognition as described in claim 1, characterized in that, The step of using the rare character database to recognize characters in the identity information to obtain rare character recognition results includes: The identity information is processed to standardize the field format, resulting in standard customer information; Extract the character glyphs and pinyin of the standard customer information; The character glyphs are compared one by one with the rare character glyphs in the rare character database to obtain the comparison results; Based on the comparison results, determine whether the rare character shape exists in the rare character database; If the comparison result indicates that the rare character shape does not exist in the rare character database, then the absence of rare characters in the identity information will be taken as the rare character recognition result. If the comparison result indicates that the rare character shape exists in the rare character database, then the pinyin corresponding to the rare character shape is matched with the pinyin of the character to obtain a matching result; Based on the matching result, determine whether the pinyin corresponding to the rare character shape and the pinyin of the character are a match failure or a match success; If the matching result is that the pinyin corresponding to the rare character shape fails to match the pinyin of the character, the character shape will be re-compared in the rare character database; When the matching result is that the pinyin corresponding to the rare character shape matches the pinyin of the character, the rare character contained in the identity information is taken as the rare character recognition result.

3. The business process optimization method based on rare character recognition as described in claim 1, characterized in that, The process of encoding the rare characters using special characters to obtain rare character codes includes: Extract rare characters from the identity information as target rare characters, and extract the character shape features and radical features of the target rare characters; The complexity of the target rare character is analyzed based on the character shape features and the radical features to obtain the rare character complexity. The encoding length of the target rare character is dynamically adjusted based on the complexity of the rare character to obtain the target encoding length; Obtain the encoding rules, and use the encoding rules and the encoding length to encode the target rare character to obtain the initial encoding; The initial encoding is compressed to obtain the rare character encoding.

4. The business process optimization method based on rare character recognition as described in claim 3, characterized in that, The complexity of the target rare character is analyzed based on the character shape features and the radical features to obtain the rare character complexity, including: Obtain the number of strokes, stroke type, and character structure from the character shape features, and perform a weighted sum of the number of strokes, stroke type, and character structure to obtain the character shape complexity; Obtain the radical category of the radical feature, analyze the rarity of the radical category, and generate radical weights based on the rarity obtained from the analysis. Obtain the radical components of the radical feature, count the number of components of the radical components, and generate radical weights based on the number of components; The radical and component features are weighted and summed according to the radical weight and the component weight to obtain the radical and component complexity. By comprehensively analyzing the character shape complexity and the radical complexity, the complexity of rare characters is obtained.

5. The business process optimization method based on rare character recognition as described in claim 1, characterized in that, The process of generating a rare character access pass for the business process using the rare character encoding includes: The business process and the rare character encoding are associated to obtain the business association process; Obtain a pass template, and fill the pass template with the target customer's identity information, the rare character encoding, and the business association process to obtain an initial pass; The validity of the initial access pass is checked, and the check result is obtained; Determine whether the detection result confirms the validity of the initial access pass; If the detection result indicates that the initial pass is invalid, the initial pass is corrected to obtain a pass with rare characters. If the detection result indicates that the initial pass is valid, then the initial pass will be used as a pass for uncommon characters.

6. The business process optimization method based on rare character recognition as described in claim 1, characterized in that, The adaptive adjustment of the field validation and processing logic of the business process based on the rare character access certificate to obtain the target optimized process includes: Obtain the field validation content of the business process, identify the affected fields of the field validation content, and obtain the target business field; Generate a corresponding uncommon character conversion strategy based on the target business field; Obtain the field validation logic of the business process, and enhance the field validation logic based on the target business field to obtain the validation enhancement logic; The business process is adaptively optimized based on the rare character access pass, the rare character conversion strategy, and the verification enhancement logic to obtain the initial optimized process; The initial optimization process is used to process the business of the target customer, and it is determined whether the identity information of the target customer is complete during the business processing. If the target customer's identity information is incomplete during the business processing, an alarm will be triggered; If the target customer's identity information is complete during the business processing, then the initial optimization process will be used as the target optimization process.

7. The business process optimization method based on rare character recognition as described in claim 6, characterized in that, The process of adaptively optimizing the business process based on the rare character access pass, the rare character conversion strategy, and the verification enhancement logic to obtain an initial optimized process includes: The rare character conversion strategy and the verification enhancement logic are used to convert the rare character access certificate to obtain customer conversion information; Obtain the processing path of the business process, filter the processing path according to the customer conversion information, and obtain the target path; The target path is monitored in real time, and the business process is adjusted in real time based on the monitoring data to obtain an initial optimized process.

8. A business process optimization device based on rare character recognition, characterized in that, The device includes: The uncommon character recognition module is used to obtain an uncommon character database and the identity information of the target customer, and to recognize the characters in the identity information using the uncommon character database to obtain the uncommon character recognition result; The uncommon character customer marking module is used to mark the target customer as an uncommon character customer if the uncommon character recognition result indicates that the identity information contains uncommon characters; The uncommon character encoding module is used to encode the uncommon characters using special characters to obtain uncommon character codes; The pass generation module is used to obtain the business process of the customer with rare characters and generate a pass for the rare characters in the business process using the rare character encoding. The business process optimization module is used to adaptively adjust the field validation and processing logic of the business process based on the rare character access certificate to obtain the target optimized process.

9. An electronic device, characterized in that, The electronic device includes: At least one processor; and, A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor, the computer program being executed by the at least one processor to enable the at least one processor to perform a business process optimization method based on rare character recognition as described in any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements a business process optimization method based on rare character recognition as described in any one of claims 1 to 7.

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