File management method and device based on radio frequency identification technology

Abstract

The invention discloses an archive management method and device based on a radio frequency identification technology, and the method comprises the steps: recognizing archive management personnel based on a face recognition algorithm, and obtaining archive management personnel information and archive information; archive information is registered and input based on the radio frequency identification technology, an archive identification tag is generated, then the archive identification tag, the archive associated personnel information and the archive information are associated, and the archive identification information is obtained and stored in an identification database; and performing natural language processing on the archive information to obtain an archive category label, and storing the archive information into an archive database according to the archive category label. According to the archive management method based on the radio frequency identification technology, the identity validity of the archive applicant is verified through a face identification algorithm, and the accuracy of personnel identity verification is improved; the identification tag is generated through the radio frequency identification algorithm to identify the archive information, so that the complexity and the labor cost of archive management are reduced, and the archive management efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to a file management method and device based on radio frequency identification technology. Background Art

[0002] With the continuous improvement of the degree of social informatization, as well as the development of ultra-high frequency RFID (Radio Frequency Identification) precise positioning and AI (Artificial Intelligence) face recognition algorithms, the trend of mutual integration and mutual penetration of RFID technology and other technologies has become more and more obvious in recent years. With the increasing maturity of smart terminal technology, the combination of RFID and face recognition technology to achieve fast, convenient and highly secure smart archive management has high research and application value.

[0003] The current archive management system mainly adopts the method of manually collecting archive information, and realizes the storage, borrowing, returning and shifting of archive information through manual collection and QR code storage. As time changes, archive data needs to be continuously summarized and counted according to different categories, which often requires a lot of repeated registration and transcription work, wasting a lot of manpower and material resources. Personnel identity verification is usually carried out by manual supervision, which is achieved by checking personnel documents or face recognition. However, the accuracy of personnel identity verification by manual supervision cannot be guaranteed, and it is easy to cause problems such as the loss of archives caused by the mixing of non-related personnel and the counterfeiting of personnel identities, and the illegal use of archives. Summary of the invention

[0004] The present invention provides a file management method and device based on radio frequency identification technology, aiming to solve the above technical problems, so as to achieve the technical effect of improving the accuracy of identity verification of file applicants, while reducing the complexity of file management and labor costs.

[0005] In order to solve the above technical problems, an embodiment of the present invention provides a file management method based on radio frequency identification technology, comprising the following steps:

[0006] Based on the face recognition algorithm, the archive management personnel are identified to obtain the archive management personnel information and archive information;

[0007] Register and enter the file information and generate a label based on radio frequency identification technology to obtain a corresponding file identification label;

[0008] Associating the file identification tag with the file management personnel information and the file information respectively to obtain file identification information, and storing the file identification information in a preset identification database;

[0009] The archive information is subjected to natural language processing to obtain archive category labels, and the archive information is stored in a preset archive database according to the archive category labels.

[0010] The archive management method provided by the present invention first obtains the archive management personnel information through the face recognition algorithm, and receives and obtains the corresponding archive information that needs to be stored in the database at the same time, so as to determine the archive management personnel information corresponding to the archive information. The archive information is registered and entered into the archive management device through the radio frequency identification technology, and a radio frequency identification tag corresponding to the archive information is generated, that is, the archive identification tag, so as to accurately mark the archive information. When the user needs to operate the archive information, the full automatic identification and information management of the archive information can be realized based on the radio frequency identification technology. At the same time, the archive identification tag will also be associated with the archive management personnel information and the archive information respectively, that is, through the association relationship between the archive identification tag and the archive information, the accurate positioning of the archive information storage location is realized to improve the user's management efficiency of the archive information. After completing the basic storage of the above three data, the archive category tag of the archive information will also be obtained through the natural language processing technology, so that the subsequent user can retrieve the archive information through keywords, which can effectively improve the retrieval efficiency of the archive. The present invention verifies the validity of the identity of the file applicant through a face recognition algorithm, which can improve the accuracy of personnel identity verification; and generates an identification tag through a radio frequency identification algorithm to mark the file information, which makes it convenient for users to determine the corresponding file information through the file identification tag, thereby improving the efficiency and informatization of file management and reducing the complexity and labor cost of file management.

[0011] As a preferred example, the file management personnel are identified based on the face recognition algorithm to obtain the file management personnel information and file information, including:

[0012] Acquire the facial image of the archive manager based on the facial recognition algorithm, and extract facial features from the facial image to obtain a facial feature vector;

[0013] Acquire the three-dimensional information of the face image, and obtain a face feature code by encoding the facial feature vector and the three-dimensional information;

[0014] The facial feature code is output as the file management personnel information and the file information.

[0015] In order to further improve the accuracy of identity authentication of archive managers by face recognition algorithms, the archive management method provided by the present invention first obtains the face image of the archive manager based on the face recognition algorithm, extracts the facial feature vector of the image, and then encodes the facial feature vector in combination with the three-dimensional information of the face image to obtain a facial feature code as the archive manager information and output it together with the acquired archive information. By encoding the facial feature code that integrates the facial feature vector of the archive manager and the three-dimensional facial information, a more accurate description of the facial features of the archive manager can be achieved, and the accuracy of facial image recognition can also be indirectly improved.

[0016] As a preferred example, extracting facial features from the face image to obtain a facial feature vector includes:

[0017] Performing face detection and feature extraction on the face image based on the face detection algorithm in the face recognition algorithm to obtain initial face features;

[0018] Performing feature location and face correction on the face image based on the initial face features to obtain a facial image;

[0019] Geometric feature extraction and texture feature extraction are performed on the facial image to obtain the facial feature vector.

[0020] When extracting facial features from a face image, firstly, the face detection algorithm in the face recognition algorithm is used to perform face detection on the face image to obtain initial facial features, and then the face image is feature located and face corrected according to the initial facial features. By locating the facial features to correct the degree of change of the face in various angles, lighting, etc., the similarity between the obtained facial image and the face of the archive manager can also be improved, thereby improving the accuracy of the facial feature vector. After obtaining the facial image after face correction, the face recognition method provided by the present invention will perform dual feature extraction of geometric features and texture features on the facial image to improve the accuracy of the facial feature vector.

[0021] As a preferred example, the step of obtaining a facial feature code by combining the facial feature vector and the three-dimensional information for encoding includes:

[0022] Performing multi-feature fusion on the facial feature vector and the three-dimensional information based on a preset multi-feature fusion algorithm to obtain a three-dimensional feature vector;

[0023] The three-dimensional feature vector is encoded using a preset feature encoding algorithm to obtain the face feature code.

[0024] After the facial feature vector is determined, the file management method provided by the present invention will perform feature fusion processing on the facial feature vector and the three-dimensional information of the face image based on a multi-feature fusion algorithm, so that the processed three-dimensional feature vector contains both facial feature information and facial three-dimensional information, which can effectively improve the accuracy and completeness of the three-dimensional feature vector, and also indirectly improve the accuracy and precision of the facial feature code encoded based on the three-dimensional feature vector.

[0025] As a preferred example, the performing natural language processing on the archive information to obtain the archive category label includes:

[0026] Classifying the archive information to obtain the archive data category;

[0027] When the archive data category is text data, sentiment analysis and keyword extraction are performed on the archive information to obtain archive keywords;

[0028] Performing structured processing on the archive information based on the archive keywords to obtain archive structured data;

[0029] Performing text feature extraction and feature weight calculation on the archive structured data to obtain archive features;

[0030] The archive features are classified based on preset feature category labels to obtain the archive category labels.

[0031] In order to improve the efficiency of subsequent users in retrieving stored archival information, the archival management method provided by the present invention will classify the archival information by information format after obtaining the archival information, and adopt different data processing methods for the archival information according to the determined archival data category. If the archival data is determined to be text data by classification, sentiment analysis and keyword extraction are performed on the archival information, and the archive is structured through the extracted archival keywords to facilitate subsequent rapid retrieval and improve the accuracy of text feature extraction.

[0032] After obtaining the archival structured data, text feature extraction and feature weight calculation can be performed on the structured data to determine the important archival features in the structured data, and then the archives can be labeled and classified based on the important archival features, that is, the archive category labels can be obtained, so that subsequent users can quickly retrieve the required archival information through keywords or category labels, which can effectively improve user retrieval efficiency.

[0033] As a preferred example, the classifying the archive information to obtain the archive data category label further includes:

[0034] When the archival data category is image data, image recognition and text extraction are performed on the archival information to obtain archival text information, the archival information is updated according to the archival text information, and the process returns to perform natural language processing on the archival information to obtain the archival category label.

[0035] If the archival data category is determined to be image data or scanned data, the image data will first be subjected to image recognition and text extraction to obtain the archival text information in the archival image data, and then the original archival information, i.e., the archival image data, will be updated according to the archival text information. After the archival information update is completed, the process returns to the step of sentiment analysis and keyword extraction of the archival information, performs natural language processing on the archive, and obtains the corresponding archival category label.

[0036] As a preferred example, storing the archive information into a preset archive database according to the archive category label further includes:

[0037] Acquire the applicant's image and application file information, and identify the applicant's image according to the face recognition algorithm to obtain facial feature values;

[0038] The file identification tag is obtained by matching the application file information with the file identification information;

[0039] Acquire the corresponding file management personnel information according to the file identification tag, and judge the facial feature value according to the file management personnel information;

[0040] When it is determined that the facial feature value matches the file management personnel information, the corresponding file information is obtained through the file identification tag and output.

[0041] When a user needs to apply to access the archive information stored in the database, the archive management device will first obtain the applicant's image and the application archive information that the person needs to apply to access, and identify the applicant's image according to the face recognition algorithm to obtain the corresponding facial feature value as a reference for determining whether the applicant is an archive management personnel, that is, whether the applicant has the authority to access the archive. While obtaining the facial feature value, the corresponding archive identification tag will be matched in the device's identification database according to the application form archive information, and then the facial feature value will be reviewed by associating the archive identification tag with the corresponding archive management personnel information to determine whether the applicant meets the authority to access the archive information.

[0042] Only after passing the judgment of the facial feature value can the file information associated with the file identification tag be output and displayed to the applicant for review, preventing the loss of files and illegal use caused by identity forgery, thereby ensuring the security and orderliness of the entry and exit of file information; and the user only needs to obtain the other two data through any one of the above three data, namely the file identification tag, the file management personnel information or the file information, effectively improving the user's management efficiency of files and application efficiency.

[0043] As a preferred example, the step of obtaining the corresponding archive management personnel information according to the archive identification tag and judging the facial feature value by the archive management personnel information further includes:

[0044] When it is determined that the facial feature value does not conform to the file management personnel information, an insufficient authority alarm signal is triggered, and a corresponding file application alarm report is generated and output based on the facial feature value and the application file information.

[0045] If it is determined that the facial feature value does not meet the requirements of the archive management personnel information, that is, it is determined that the applicant does not meet the authority to view the archive information, an insufficient authority alarm signal will be triggered, and a corresponding archive application alarm report will be generated based on the facial feature value, that is, the applicant's image and application archive information, and output to the archive management personnel to remind the archive management personnel that non-file-related personnel are trying to apply for archive information, avoid the problem of file theft due to identity impersonation, and improve the security of archive access.

[0046] As a preferred example, storing the archive information into a preset archive database according to the archive category label further includes:

[0047] Acquire a search person image and search information, and perform feature calculation on the search information based on a preset vector space model to obtain a search feature vector;

[0048] Performing similarity calculations on a plurality of the archive category labels and the retrieval feature vectors to obtain similarity results;

[0049] Determine the first archive category label corresponding to the search information according to the similarity result, and obtain the corresponding first archive management personnel information according to the first archive category label;

[0050] The search personnel image is judged by the file management personnel information. When it is determined that the search personnel image meets the first file management personnel information, the corresponding first file information is obtained according to the first file category label and output.

[0051] If the data received by the archive management device is not the specific application information of the archive, but the retrieval information of the archive, the image of the search person and the retrieval information will be obtained, and the feature calculation of the retrieval information will be performed according to the vector space model to obtain the retrieval feature vector, and then the similarity calculation will be performed between the retrieval feature vector and several archive category labels stored in the device. The archive management personnel information corresponding to the first archive category label with the highest similarity among the several similarity results calculated is used as the reference data for judging whether the image of the search person meets the identity authority to view the archive, and after judging that the search person meets the authority to view the archive information, the archive information is output and displayed to the search person.

[0052] By calculating the similarity between the retrieval feature vector and the archive category label, the archive information that the user needs to retrieve is determined, which can improve the user's retrieval accuracy and efficiency; and before retrieving and outputting the corresponding archive information, the image of the searcher is authenticated through the archive management personnel information corresponding to the archive information, which can further ensure the security of archive entry and exit.

[0053] Correspondingly, an embodiment of the present invention further provides a file management device based on radio frequency identification technology, the file management device comprising a face recognition module, a radio frequency identification module, a tag storage module and a file storage module; wherein:

[0054] The face recognition module is used to identify the archive management personnel based on the face recognition algorithm to obtain the archive management personnel information and archive information;

[0055] The radio frequency identification module is used to register and input the file information and generate a label based on radio frequency identification technology to obtain a corresponding file identification label;

[0056] The tag storage module is used to associate the file identification tag with the file management personnel information and the file information respectively to obtain the file identification information, and store the file identification information in a preset identification database;

[0057] The archive storage module is used to perform natural language processing on the archive information to obtain archive category labels, and store the archive information into a preset archive database according to the archive category labels. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] Figure 1 : A flow chart of an embodiment of a file management method based on radio frequency identification technology provided by the present invention;

[0059] Figure 2 : A structural diagram of an embodiment of a file management device based on radio frequency identification technology provided by the present invention;

[0060] Figure 3 : A flow chart of an embodiment of a method for reading and writing archive identification tags based on radio frequency identification technology provided by the present invention;

[0061] Figure 4 :A flowchart of an embodiment of an identity authentication method based on a face recognition algorithm provided by the present invention. DETAILED DESCRIPTION

[0062] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0063] Embodiment 1

[0064] Please refer to Figure 1 , which is a flow chart of an embodiment of the file management method based on radio frequency identification technology provided by the present invention, including steps 101 to 104, each of which is specifically as follows:

[0065] Step 101: Identify the archive manager based on the face recognition algorithm to obtain the archive manager information and archive information.

[0066] The radio frequency identification technology in the archive management method disclosed in the embodiment of the present invention provides a rapid identification function for objects or identities, while the face recognition technology provides biometric verification of personnel identities. The integration of the above two technologies can achieve seamless collaboration in multiple fields, which can track objects and verify personnel identities, avoiding the limitations of a single technology. The archive management method that integrates the two technologies provided in this embodiment is more difficult to be forged or broken than the traditional single identity authentication method. At the same time, in terms of privacy protection, through encryption processing and authorization control, it can also effectively reduce the risk of user data leakage.

[0067] Specifically, this embodiment identifies the archive management personnel based on the face recognition algorithm to obtain the archive management personnel information and archive information, including:

[0068] Acquire the facial image of the archive manager based on the facial recognition algorithm, and extract facial features from the facial image to obtain a facial feature vector;

[0069] Acquire the three-dimensional information of the face image, and obtain a face feature code by encoding the facial feature vector and the three-dimensional information;

[0070] The facial feature code is output as the file management personnel information and the file information.

[0071] In order to further improve the accuracy of identity authentication of archive managers by face recognition algorithms, the archive management method provided by the present invention first obtains the face image of the archive manager based on the face recognition algorithm, extracts the facial feature vector of the image, and then encodes the facial feature vector in combination with the three-dimensional information of the face image to obtain a facial feature code as the archive manager information and output it together with the acquired archive information. By encoding the facial feature code that integrates the facial feature vector of the archive manager and the three-dimensional facial information, a more accurate description of the facial features of the archive manager can be achieved, and the accuracy of facial image recognition can also be indirectly improved.

[0072] Furthermore, this embodiment extracts facial features from the face image to obtain a facial feature vector, including:

[0073] Performing face detection and feature extraction on the face image based on the face detection algorithm in the face recognition algorithm to obtain initial face features;

[0074] Performing feature location and face correction on the face image based on the initial face features to obtain a facial image;

[0075] Geometric feature extraction and texture feature extraction are performed on the facial image to obtain the facial feature vector.

[0076] When extracting facial features from a face image, firstly, the face detection algorithm in the face recognition algorithm is used to perform face detection on the face image to obtain initial facial features, and then the face image is feature located and face corrected according to the initial facial features. By locating the facial features to correct the degree of change of the face in various angles, lighting, etc., the similarity between the obtained facial image and the face of the archive manager can also be improved, thereby improving the accuracy of the facial feature vector. After obtaining the facial image after face correction, the face recognition method provided by the present invention will perform dual feature extraction of geometric features and texture features on the facial image to improve the accuracy of the facial feature vector.

[0077] Furthermore, this embodiment obtains a facial feature code by combining and encoding the facial feature vector and the three-dimensional information, including:

[0078] Performing multi-feature fusion on the facial feature vector and the three-dimensional information based on a preset multi-feature fusion algorithm to obtain a three-dimensional feature vector;

[0079] The three-dimensional feature vector is encoded using a preset feature encoding algorithm to obtain the face feature code.

[0080] After the facial feature vector is determined, the file management method provided by the present invention will perform feature fusion processing on the facial feature vector and the three-dimensional information of the face image based on a multi-feature fusion algorithm, so that the processed three-dimensional feature vector contains both facial feature information and facial three-dimensional information, which can effectively improve the accuracy and completeness of the three-dimensional feature vector, and also indirectly improve the accuracy and precision of the facial feature code encoded based on the three-dimensional feature vector.

[0081] In this embodiment, see Figure 4 , Figure 4 The following is a flow chart of an embodiment of an identity verification method based on a face recognition algorithm provided by the present invention. Figure 4 As shown, the face recognition algorithm provided in this embodiment can firstly collect the facial image of the person who needs to be verified through a camera, such as a camera, and then perform face detection on the collected facial image to determine the specific position of the face in the image, so as to extract the features of the face later. Before extracting the features of the face, the face whose specific position on the facial image is determined will also be located, that is, the precise location of the features on the face for subsequent feature extraction will be further accurately determined, and after the location is located, the image will be preprocessed to improve the clarity of the image as much as possible, and the image will be feature extracted after preprocessing to obtain the feature data of the image.

[0082] In addition, after acquiring the facial image of the person who needs to be verified, the archive management device not only performs face detection on the person, but also inputs the facial image into the preset neural network deep learning model in the embedded GPU (graphics processing unit) in the camera device for training, so as to improve the recognition sensitivity of the trained neural network deep learning model to the facial image. The trained neural network deep learning model is used to match the output facial image with the template database pre-stored in the model, that is, the input facial image is matched with the image data in the template database of the archive management personnel images pre-stored in the device, and the template image data whose corresponding matching degree reaches the preset matching degree threshold and the feature data contained in the template image data are output.

[0083] After determining the feature data of the facial image and the feature data of the template image, a feature comparison will be performed on the feature data of the facial image and the feature data of the template image to determine whether the facial image matches the template image, and then to determine whether the real identity of the person who needs to be verified is the file manager corresponding to the template data pre-stored in the model, and then to determine whether the person who needs to be verified meets the requirements for accessing the file information.

[0084] Among them, when the feature data of the facial image and the feature data of the template image are compared, the feature comparison in this embodiment specifically refers to extracting the features of the picture taken by the video device for the face image set, mainly including: face specification, that is, correcting the degree of change of the face in various angles, lighting, etc., face representation, that is, collecting and detecting the face and comparing the face information in the database to obtain relevant information and face recognition, that is, collecting and detecting face recognition results, matching and identifying, and adding algorithm and artificial intelligence training and learning through the front-end embedded GPU (graphics processing unit) to realize the feature comparison of the above content, and then the feature comparison is completed at the face recognition terminal.

[0085] When it is determined that the feature data of the facial image matches the feature data of the template image, that is, it is determined that the person who needs to undergo identity verification meets the requirements for reviewing the file information, the device will output the facial image initially received, and retrieve the file information required by the person who has completed the identity verification for display and output.

[0086] Step 102: register and enter the file information and generate a label based on radio frequency identification technology to obtain a corresponding file identification label.

[0087] After obtaining the archive management personnel information and archive information through the face recognition algorithm, the embodiment of the present invention will register and enter the archive information and generate labels based on the radio frequency identification technology to obtain the archive identification label corresponding to the archive information. By setting the archive identification label on the archive box that stores the archive information, the ultra-high frequency RFID reader / writer, the ultra-high frequency RFID chip set in the archive identification label and the database management system in the background of the archive management device can be used to cooperate with each other to realize the information management of the archive borrowing, returning, searching and inventory work process, which can effectively improve the security of archive storage and warehousing management.

[0088] In this embodiment, see Figure 3 , Figure 3 This is a flow chart of an embodiment of the method for reading and writing archive identification tags based on radio frequency identification technology provided by the present invention. Figure 3 As shown, an ultra-high frequency RFID reader is provided in the archive room for storing physical archive information, and each archive box stored in the archive room is provided with a corresponding archive identification tag, and each archive identification tag is provided with an ultra-high frequency RFID chip.

[0089] Therefore, the UHF RFID reader in the archive room will transmit a 920Mhz-925Mhz UHF radio frequency query signal through the transmitting antenna according to user needs. When the RFID electronic tag, that is, the archive identification tag provided in this embodiment, enters the working area of ​​the transmitting antenna, the identification tag will generate a corresponding induced current, that is, energy, to activate the tag. The activated tag will send its own coding and other information to the UHF RFID reader through the built-in transmitting antenna in the tag. The reader will modulate and decode the received signal to obtain the reading and writing of the tag, and then accurately locate the tag position through the perception of the corresponding position tag by each antenna.

[0090] The energy transmission steps of RFID identification tags specifically include: emitting ultra-high frequency radio wave energy through backscatter coupling, and the ultra-high frequency RFID tag receiving the radio frequency signal emitted by the RFID reader, and then forming an induced current through coupling, thereby obtaining the corresponding energy for activating the tag, and then achieving feedback on the specific location of the tag and the archival information stored in the tag.

[0091] In addition, the archive identification tag provided in this embodiment, namely the RFID identification tag, also provides a clock synchronization method and a data modulation method, that is, the RFID tag reader sends the RFID data and the corresponding clock signal to the RFID radio frequency chip after clock modulation, that is, the archive identification tag in this embodiment contains a radio frequency identification chip, and the RFID radio frequency chip encodes the received signal, and synchronizes the clock inside the chip with the clock signal received by the chip through modulation processing, and finally restores the data through modulation and demodulation, so as to obtain the RFID data sent by the RFID tag reader.

[0092] In this embodiment, the above-mentioned clock synchronization method and data modulation method are specifically as follows: the internal controller of the RFID tag reader modulates the data and clock signals onto the radio frequency (RF) carrier signal through amplitude shift keying (ASK) modulation, and the RFID tag antenna end receives these signals and extracts the clock signal therein, which is used to provide clock reference data for the response in the RFID tag, so that the response timing is synchronized with the extracted clock signal, and the data can also be restored through modulation and demodulation and stored in the internal storage unit of the chip, so as to update the specific entry and exit records of the archival information corresponding to the identification tag.

[0093] Step 103: Associating the file identification tag with the file management personnel information and the file information respectively to obtain file identification information, and storing the file identification information in a preset identification database.

[0094] After obtaining the archive management personnel information, archive identification tags and archive information, the above three can be associated with each other, and then the user can use any one of the above three information as a search condition to obtain the remaining two information, and store the associated archive identification information in the identification database, waiting for the user to apply or retrieve by entering the corresponding search information when needed. The search information can be an archive identification tag or archive management personnel information. When the search information is an archive identification tag, the corresponding archive identification information will be determined according to the archive identification tag, that is, the corresponding archive management personnel information will be determined, and then the person who inputs the search information will be recognized by face recognition through the determined archive management personnel information; and when the search information is the archive management personnel information, after completing the recognition and identity confirmation of the personnel information in the search information, the archive identification tag corresponding to the archive identification information can be output and displayed to the user, so that the user can select the corresponding archive tag to be consulted to retrieve the archive information.

[0095] Step 104: Perform natural language processing on the archive information to obtain archive category labels, and store the archive information in a preset archive database according to the archive category labels.

[0096] After the archive identification information is stored in the identification database, in order to prevent subsequent users from being unable to obtain the archive information through the specific identification label of the archive or the archive management personnel information, the archive information will also be processed by natural language to obtain the corresponding archive category label, that is, the category label related to the archive information content, and based on this, the archive information will be stored in the archive database so that the user can obtain the corresponding archive information through the archive category label. When the search information input by the user is not specific archive-related data, but keywords related to the archive content or category description words related to the archive content, the similarity matching can be performed with the archive category label by inputting the search information, and the archive identification information corresponding to the archive information whose similarity reaches the preset threshold can be obtained, and then the user is identified according to the obtained archive identification information, so as to improve the retrieval efficiency and retrieval accuracy of the user's archive retrieval.

[0097] Specifically, this embodiment performs natural language processing on the archive information to obtain archive category labels, including:

[0098] Classifying the archive information to obtain the archive data category;

[0099] When the archive data category is text data, sentiment analysis and keyword extraction are performed on the archive information to obtain archive keywords;

[0100] Performing structured processing on the archive information based on the archive keywords to obtain archive structured data;

[0101] Performing text feature extraction and feature weight calculation on the archive structured data to obtain archive features;

[0102] The archive features are classified based on preset feature category labels to obtain the archive category labels.

[0103] In order to improve the efficiency of subsequent users in retrieving stored archival information, the archival management method provided by the present invention will classify the archival information by information format after obtaining the archival information, and adopt different data processing methods for the archival information according to the determined archival data category. If the archival data is determined to be text data by classification, sentiment analysis and keyword extraction are performed on the archival information, and the archive is structured through the extracted archival keywords to facilitate subsequent rapid retrieval and improve the accuracy of text feature extraction.

[0104] After obtaining the archival structured data, text feature extraction and feature weight calculation can be performed on the structured data to determine the important archival features in the structured data, and then the archives can be labeled and classified based on the important archival features, that is, the archive category labels can be obtained, so that subsequent users can quickly retrieve the required archival information through keywords or category labels, which can effectively improve user retrieval efficiency.

[0105] Furthermore, this embodiment classifies the archive information to obtain the archive data category label, and further includes:

[0106] When the archival data category is image data, image recognition and text extraction are performed on the archival information to obtain archival text information, the archival information is updated according to the archival text information, and the process returns to perform natural language processing on the archival information to obtain the archival category label.

[0107] If the archival data category is determined to be image data or scanned data, the image data will first be subjected to image recognition and text extraction to obtain the archival text information in the archival image data, and then the original archival information, i.e., the archival image data, will be updated according to the archival text information. After the archival information update is completed, the process returns to the step of sentiment analysis and keyword extraction of the archival information, performs natural language processing on the archive, and obtains the corresponding archival category label.

[0108] The archive management method provided by the present invention first obtains the archive management personnel information through the face recognition algorithm, and receives and obtains the corresponding archive information that needs to be stored in the database at the same time, so as to determine the archive management personnel information corresponding to the archive information. The archive information is registered and entered into the archive management device through the radio frequency identification technology, and a radio frequency identification tag corresponding to the archive information is generated, that is, the archive identification tag, so as to accurately mark the archive information. When the user needs to operate the archive information, the full automatic identification and information management of the archive information can be realized based on the radio frequency identification technology. At the same time, the archive identification tag will also be associated with the archive management personnel information and the archive information respectively, that is, through the association relationship between the archive identification tag and the archive information, the accurate positioning of the archive information storage location is realized to improve the user's management efficiency of the archive information. After completing the basic storage of the above three data, the archive category tag of the archive information will also be obtained through the natural language processing technology, so that the subsequent user can retrieve the archive information through keywords, which can effectively improve the retrieval efficiency of the archive. The present invention verifies the validity of the identity of the file applicant through a face recognition algorithm, which can improve the accuracy of personnel identity verification; and generates an identification tag through a radio frequency identification algorithm to mark the file information, which makes it convenient for users to determine the corresponding file information through the file identification tag, thereby improving the efficiency and informatization of file management and reducing the complexity and labor cost of file management.

[0109] In addition, this embodiment stores the archive information into a preset archive database according to the archive category label, and further includes:

[0110] Acquire the applicant's image and application file information, and identify the applicant's image according to the face recognition algorithm to obtain facial feature values;

[0111] The file identification tag is obtained by matching the application file information with the file identification information;

[0112] Acquire the corresponding file management personnel information according to the file identification tag, and judge the facial feature value according to the file management personnel information;

[0113] When it is determined that the facial feature value matches the file management personnel information, the corresponding file information is obtained through the file identification tag and output.

[0114] When a user needs to apply to access the archive information stored in the database, the archive management device will first obtain the applicant's image and the application archive information that the person needs to apply to access, and identify the applicant's image according to the face recognition algorithm to obtain the corresponding facial feature value as a reference for determining whether the applicant is an archive management personnel, that is, whether the applicant has the authority to access the archive. While obtaining the facial feature value, the corresponding archive identification tag will be matched in the device's identification database according to the application form archive information, and then the facial feature value will be reviewed by associating the archive identification tag with the corresponding archive management personnel information to determine whether the applicant meets the authority to access the archive information.

[0115] Only after passing the judgment of the facial feature value can the file information associated with the file identification tag be output and displayed to the applicant for review, preventing the loss of files and illegal use caused by identity forgery, thereby ensuring the security and orderliness of the entry and exit of file information; and the user only needs to obtain the other two data through any one of the above three data, namely the file identification tag, the file management personnel information or the file information, effectively improving the user's management efficiency of files and application efficiency.

[0116] Furthermore, this embodiment obtains the corresponding file management personnel information according to the file identification tag, and judges the facial feature value according to the file management personnel information, and also includes:

[0117] When it is determined that the facial feature value does not conform to the file management personnel information, an insufficient authority alarm signal is triggered, and a corresponding file application alarm report is generated and output based on the facial feature value and the application file information.

[0118] If it is determined that the facial feature value does not meet the requirements of the archive management personnel information, that is, it is determined that the applicant does not meet the authority to view the archive information, an insufficient authority alarm signal will be triggered, and a corresponding archive application alarm report will be generated based on the facial feature value, that is, the applicant's image and application archive information, and output to the archive management personnel to remind the archive management personnel that non-file-related personnel are trying to apply for archive information, avoid the problem of file theft due to identity impersonation, and improve the security of archive access.

[0119] As another example of this embodiment, this example further includes storing the archive information into a preset archive database according to the archive category label:

[0120] Acquire a search person image and search information, and perform feature calculation on the search information based on a preset vector space model to obtain a search feature vector;

[0121] Performing similarity calculations on a plurality of the archive category labels and the retrieval feature vectors to obtain similarity results;

[0122] Determine the first archive category label corresponding to the search information according to the similarity result, and obtain the corresponding first archive management personnel information according to the first archive category label;

[0123] The search personnel image is judged by the file management personnel information. When it is determined that the search personnel image meets the first file management personnel information, the corresponding first file information is obtained according to the first file category label and output.

[0124] If the data received by the archive management device is not the specific application information of the archive, but the retrieval information of the archive, the image of the search person and the retrieval information will be obtained, and the feature calculation of the retrieval information will be performed according to the vector space model to obtain the retrieval feature vector, and then the similarity calculation will be performed between the retrieval feature vector and several archive category labels stored in the device. The archive management personnel information corresponding to the first archive category label with the highest similarity among the several similarity results calculated is used as the reference data for judging whether the image of the search person meets the identity authority to view the archive, and after judging that the search person meets the authority to view the archive information, the archive information is output and displayed to the search person.

[0125] By calculating the similarity between the retrieval feature vector and the archive category label, the archive information that the user needs to retrieve is determined, which can improve the user's retrieval accuracy and efficiency; and before retrieving and outputting the corresponding archive information, the image of the searcher is authenticated through the archive management personnel information corresponding to the archive information, which can further ensure the security of archive entry and exit.

[0126] In order to better illustrate the working principle and step flow of the file management method and device based on radio frequency identification technology of the present invention, it is possible but not limited to refer to the relevant records above.

[0127] Accordingly, participate Figure 2 , Figure 2 This is a schematic diagram of the structure of an embodiment of the file management device based on radio frequency identification technology provided by the present invention. Figure 2 As shown, the file management device includes a face recognition module 201, a radio frequency identification module 202, a tag storage module 203 and a file storage module 204; wherein:

[0128] The face recognition module 201 is used to identify the archive management personnel based on the face recognition algorithm to obtain the archive management personnel information and archive information.

[0129] Furthermore, the face recognition module 201 identifies the archive manager based on the face recognition algorithm to obtain the archive manager information and archive information, including:

[0130] Acquire the facial image of the archive manager based on the facial recognition algorithm, and extract facial features from the facial image to obtain a facial feature vector;

[0131] Acquire the three-dimensional information of the face image, and obtain a face feature code by encoding the facial feature vector and the three-dimensional information;

[0132] The facial feature code is output as the file management personnel information and the file information.

[0133] Furthermore, the face recognition module 201 extracts facial features from the face image to obtain a facial feature vector, including:

[0134] Performing face detection and feature extraction on the face image based on the face detection algorithm in the face recognition algorithm to obtain initial face features;

[0135] Performing feature location and face correction on the face image based on the initial face features to obtain a facial image;

[0136] Geometric feature extraction and texture feature extraction are performed on the facial image to obtain the facial feature vector.

[0137] Furthermore, the face recognition module 201 obtains a face feature code by encoding the face feature vector and the three-dimensional information, including:

[0138] Performing multi-feature fusion on the facial feature vector and the three-dimensional information based on a preset multi-feature fusion algorithm to obtain a three-dimensional feature vector;

[0139] The three-dimensional feature vector is encoded using a preset feature encoding algorithm to obtain the face feature code.

[0140] The radio frequency identification module 202 is used to register and input the file information and generate a label based on radio frequency identification technology to obtain a corresponding file identification label.

[0141] The tag storage module 203 is used to associate the file identification tag with the file management personnel information and the file information respectively to obtain file identification information, and store the file identification information in a preset identification database.

[0142] The archive storage module 204 is used to perform natural language processing on the archive information to obtain archive category labels, and store the archive information into a preset archive database according to the archive category labels.

[0143] Furthermore, the archive storage module 204 performs natural language processing on the archive information to obtain archive category labels, including:

[0144] Classifying the archive information to obtain the archive data category;

[0145] When the archive data category is text data, sentiment analysis and keyword extraction are performed on the archive information to obtain archive keywords;

[0146] Performing structured processing on the archive information based on the archive keywords to obtain archive structured data;

[0147] Performing text feature extraction and feature weight calculation on the archive structured data to obtain archive features;

[0148] The archive features are classified based on preset feature category labels to obtain the archive category labels.

[0149] Furthermore, the archive storage module 204 classifies the archive information to obtain the archive data category label, and further includes:

[0150] When the archival data category is image data, image recognition and text extraction are performed on the archival information to obtain archival text information, the archival information is updated according to the archival text information, and the process returns to perform natural language processing on the archival information to obtain the archival category label.

[0151] In summary, the embodiment of the present invention also provides a file management method and device based on radio frequency identification technology. The method identifies file management personnel based on face recognition algorithm to obtain file management personnel information and file information; registers and enters file information based on radio frequency identification technology, and generates file identification tags, and then respectively associates the file identification tags with file-related personnel information and file information to obtain and store the file identification information in an identification database; performs natural language processing on the file information to obtain file category tags, and stores the file information in the file database according to the file category tags. The file management method using radio frequency identification technology provided by the present invention verifies the identity validity of file applicants through face recognition algorithms, thereby improving the accuracy of personnel identity verification; generates identification tags through radio frequency identification algorithms to identify file information, thereby reducing the complexity and labor costs of file management and improving the efficiency of file management.

[0152] The specific embodiments described above further illustrate the purpose, technical solutions and beneficial effects of the present invention. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the scope of protection of the present invention. It is particularly pointed out that for those skilled in the art, any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the scope of protection of the present invention.

Claims

1. A file management method based on radio frequency identification technology, characterized in that: The following steps are involved: Based on the face recognition algorithm, the archive management personnel are identified to obtain the archive management personnel information and archive information; Register and enter the file information and generate a label based on radio frequency identification technology to obtain a corresponding file identification label; Associating the file identification tag with the file management personnel information and the file information respectively to obtain file identification information, and storing the file identification information in a preset identification database; The archive information is subjected to natural language processing to obtain archive category labels, and the archive information is stored in a preset archive database according to the archive category labels.

2. The file management method based on radio frequency identification technology as claimed in claim 1, characterized in that: The file management personnel are identified based on the face recognition algorithm to obtain the file management personnel information and file information, including: Acquire the face image of the archive manager based on the face recognition algorithm, and extract facial features from the face image to obtain a facial feature vector; Acquire the three-dimensional information of the face image, and obtain a face feature code by encoding the facial feature vector and the three-dimensional information; The facial feature code is output as the file management personnel information and the file information.

3. The file management method based on radio frequency identification technology as claimed in claim 2, characterized in that: The step of extracting facial features from the face image to obtain a facial feature vector includes: Performing face detection and feature extraction on the face image based on the face detection algorithm in the face recognition algorithm to obtain initial face features; Performing feature location and face correction on the face image based on the initial face features to obtain a facial image; Geometric feature extraction and texture feature extraction are performed on the facial image to obtain the facial feature vector.

4. The file management method based on radio frequency identification technology as claimed in claim 2, characterized in that: The step of combining the facial feature vector and the three-dimensional information to obtain a facial feature code comprises: Performing multi-feature fusion on the facial feature vector and the three-dimensional information based on a preset multi-feature fusion algorithm to obtain a three-dimensional feature vector; The three-dimensional feature vector is encoded using a preset feature encoding algorithm to obtain the face feature code.

5. The file management method based on radio frequency identification technology as claimed in claim 1, characterized in that: The performing natural language processing on the archive information to obtain the archive category label includes: Classifying the archive information to obtain the archive data category; When the archive data category is text data, sentiment analysis and keyword extraction are performed on the archive information to obtain archive keywords; Performing structured processing on the archive information based on the archive keywords to obtain archive structured data; Performing text feature extraction and feature weight calculation on the archive structured data to obtain archive features; The archive features are classified based on preset feature category labels to obtain the archive category labels.

6. The file management method based on radio frequency identification technology as claimed in claim 5, characterized in that: The classifying the archive information to obtain the archive data category label also includes: When the archival data category is image data, image recognition and text extraction are performed on the archival information to obtain archival text information, the archival information is updated according to the archival text information, and the process returns to natural language processing of the archival information to obtain the archival category label.

7. The file management method based on radio frequency identification technology as claimed in claim 1, characterized in that: The step of storing the archive information into a preset archive database according to the archive category label further includes: Acquire the applicant's image and application file information, and identify the applicant's image according to the face recognition algorithm to obtain facial feature values; The file identification tag is obtained by matching the application file information with the file identification information; Acquire the corresponding file management personnel information according to the file identification tag, and judge the facial feature value according to the file management personnel information; When it is determined that the facial feature value matches the file management personnel information, the corresponding file information is obtained through the file identification tag and output.

8. The file management method based on radio frequency identification technology as claimed in claim 7, characterized in that: The step of acquiring the corresponding file management personnel information according to the file identification tag, and judging the facial feature value by the file management personnel information, further includes: When it is determined that the facial feature value does not conform to the file management personnel information, an insufficient authority alarm signal is triggered, and a corresponding file application alarm report is generated and output based on the facial feature value and the application file information.

9. The file management method based on radio frequency identification technology as claimed in claim 1, characterized in that: The step of storing the archive information into a preset archive database according to the archive category label further includes: Acquire a search person image and search information, and perform feature calculation on the search information based on a preset vector space model to obtain a search feature vector; Performing similarity calculations on a plurality of the archive category labels and the retrieval feature vectors to obtain similarity results; Determine the first archive category label corresponding to the search information according to the similarity result, and obtain the corresponding first archive management personnel information according to the first archive category label; The search personnel image is judged by the file management personnel information. When it is determined that the search personnel image meets the first file management personnel information, the corresponding first file information is obtained according to the first file category label and output.

10. A file management device based on radio frequency identification technology, characterized in that: The file management device includes a face recognition module, a radio frequency identification module, a tag storage module and a file storage module; wherein: The face recognition module is used to identify the archive management personnel based on the face recognition algorithm to obtain the archive management personnel information and archive information; The radio frequency identification module is used to register and input the file information and generate a label based on radio frequency identification technology to obtain a corresponding file identification label; The tag storage module is used to associate the file identification tag with the file management personnel information and the file information respectively to obtain the file identification information, and store the file identification information in a preset identification database; The archive storage module is used to perform natural language processing on the archive information to obtain archive category labels, and store the archive information into a preset archive database according to the archive category labels.

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