43 results about "Fingerprint alignment" patented technology

The invention relates to the technical field of textile informatization and block chain encryption traceability, in particular to a textile quality block chain encryption traceability method, which comprises the following steps of: implanting quantum dot-nucleic acid mixed fingerprints into yarns in a spinning stage and generating distributed identities; in the production link, process data are collected in a trusted execution environment, and are packaged into an encrypted packet by using homomorphic encryption, zero-knowledge proof and threshold signature; and after a batch threshold value is reached, calculating a batch commitment and a fragmentation commitment, fragmenting through erasure coding, writing the commitment and the proof into the directed acyclic graph according to a fixed field, and confirming through a Byzantine fault-tolerant consensus. Consumer off-line fingerprint comparison and homomorphic verification can realize authenticity identification, and after networking, batch certification is verified and credits are pledged. And when the time lock expires, the historical quality data is decrypted by multiple subjects in a combined manner, and maintenance suggestion hash is generated and written into subsequent transactions, closed-loop tracing from production to maintenance is realized, and anti-counterfeiting, privacy protection and quality improvement are realized at the same time.

The invention discloses a whole-process application method for an indoor decoration engineering digital model, and relates to the technical field of building information models.The method comprises the steps that a decoration semantic mapping engine is deployed, multi-source model attributes are standardized into a unified attribute dictionary, and a neutral semantic package is generated; splitting the neutral semantic package into single component nodes, and storing the single component nodes in a tense graph to realize object-level version management; generating an incremental packet by changing the monitoring stream and comparing the fingerprint; automatically combining decisions or generating a to-be-confirmed list by utilizing a conflict analysis pipeline; synchronizing the update fragment to a scheduling system and a logistics interface through a service bus; and finally, the field terminal dynamically superposes the scanning data and the sensing reading according to the component fingerprint, and writes back and feeds back to correct the mapping rule. The technical characteristics of the method cover semantic management, data synchronization and field feedback. The semantic consistency and the data accuracy are improved, the information islands are effectively inhibited, and the full-period management efficiency of the interior decoration engineering is improved.

The invention discloses an open source system framework layer custom interface authentication method comprising the following steps: creating a custom service in an open source system framework layer, the custom service providing at least one custom interface; establishing an encrypted and stored authentication white list file, wherein the encrypted and stored authentication white list file comprises a package name and signature fingerprint information of an application needing to be authorized; integrating an authentication trigger mechanism in the custom interface, and executing a hierarchical authentication process when an external application calls the custom interface; the hierarchical authentication process comprises the following steps: acquiring a package name of a calling party application and checking whether the package name exists in an authentication white list file or not; if yes, signature fingerprint information of the calling party application is further obtained and compared with fingerprints recorded in the authentication white list file; and if the fingerprints are consistent, the authentication is successful, and the function logic of the user-defined interface is executed. According to the method provided by the invention, the custom interface is ensured to be only open to the authorized application through a dual verification mechanism of the package name and the signature fingerprint information, and the full choice and stability of the system are ensured.

The invention provides an intelligent diagnosis and source tracing method for inflow and infiltration of a sewage pipe network and a related device. Comprising the steps of performing regional division and historical data analysis on a to-be-diagnosed sewage pipe network, and preliminarily determining problem partitions in the to-be-diagnosed sewage pipe network; obtaining a water body sample in the problem partition, carrying out two-dimensional index detection, and respectively constructing a two-dimensional index database, a fingerprint spectrum and a water body distribution spectrum; then fingerprint comparison and numerical diagnosis are carried out, the proportions of various types of water bodies in the problem subareas are determined, so that the risk levels corresponding to the problem subareas are determined, and a risk level distribution diagram of the sewage pipe network to be diagnosed is generated after rendering is carried out; and identifying the severe risk pipe network subarea, constructing a sewage-external water bidirectional seepage model of the severe risk pipe network subarea based on the rainstorm management model, and realizing traceability processing of the severe risk pipe network subarea so as to obtain a traceability result corresponding to the severe risk pipe network subarea. And the diagnosis accuracy of the water inflow and infiltration problem outside the sewage pipe network is improved.

This invention discloses a real-time detection method and system for abnormal behavior based on micro-execution state sequences, relating to the field of computer-related technologies. The method includes: offline analysis of the binary code of embedded firmware to generate a legitimate fingerprint database of micro-execution state sequences; non-intrusive sniffing of the CPU's instruction bus and real-time classification of executed instructions via a hardware monitoring unit; calculation of real-time fingerprints based on instruction type sequences; extraction of legitimate fingerprints from the legitimate fingerprint database; synchronization with a fingerprint comparator for comparison; and generation of fingerprint comparison results; and triggering an abnormal response unit based on the fingerprint comparison results. This invention solves the technical problems in existing technologies where low-overhead, fine-grained, and broad-spectrum defense capabilities for embedded firmware runtime behavior monitoring cannot be achieved in resource-constrained environments, resulting in poor real-time detection performance, sensitivity, and protection coverage. It achieves the technical effect of improving the real-time performance and sensitivity of embedded firmware runtime integrity detection, as well as the protection coverage and system energy efficiency.

This invention provides a method and system for verifying and tracing file fingerprints for scientific instrument data, comprising: Step S1, acquiring user identity information and instrument identifier of the scientific instrument, identifying the original data file through file monitoring and automatically collecting basic metadata to generate labeled metadata; Step S2, calculating the file fingerprint based on the algorithm identifier using a digest algorithm and writing it into a fingerprint database; Step S3, performing fingerprint comparison on the file fingerprints; if the fingerprints are the same, reusing the existing content object identifier and adding a new version record; if they are different, creating a new content object identifier and adding a new version record; and when the same reservation identifier, upload time difference not exceeding a preset threshold, and fingerprint inconsistency are met, creating a version fork and recording the fork reason code and fork reason payload for traceability; Step S4, performing verification processing on the downloaded file. The beneficial effect is that this invention can meet the comprehensive requirements of traceability, auditability, and real-time performance for the security management of scientific instrument data.

The application discloses a logistics package packaging traceability data transmission system and method based on a block chain, relates to the field of computer information technology, and aims to solve the problem that a traditional traceability mechanism cannot effectively monitor the physical state of packaging and trace tampering behavior in the transportation process, resulting in the problem that data is credible but the physical object is suspicious. The original surface information of logistics packaging is collected, a filter bank is used to obtain a filtering response matrix of a height field matrix, each filtering response matrix is converted into a binary sequence string and spliced into a binary feature code, the binary feature code is used to form a feature code sequence by extracting an invariable bit, an original fingerprint is obtained through hash calculation, a data body containing an identity code, the original fingerprint, error correction auxiliary data and a time stamp is constructed, and the data body is broadcast to a block chain after being signed by an elliptic curve digital signature; current surface features are obtained and processed to obtain a current feature code sequence; and the packaging integrity is determined by comparing the current feature code sequence with the original fingerprint.

The invention discloses a loopback test module data flow monitoring method and system, and belongs to the technical field of computers. The method comprises the following steps: intercepting an original data stream at a loopback sending end bypass, generating a sending end characteristic fingerprint with a fixed length, associating the sending end characteristic fingerprint with a sending clock label, and writing the sending end characteristic fingerprint into an asynchronous ring buffer area in sequence; intercepting a return data stream in a loop-back receiving end bypass, generating a receiving end feature fingerprint by adopting the same algorithm, and capturing a receiving clock label; the matching engine determines a sliding window range based on a receiving clock label and a preset time delay parameter, reads a plurality of sending end feature fingerprints in a window in parallel, and compares the sending end feature fingerprints with receiving end feature fingerprints after effective screening according to time deviation; and if yes, judging that the operation is normal, otherwise, starting an exception handling process. According to the method, through feature fingerprint compression storage and an asynchronous ring buffer and sliding window parallel matching mechanism, low-resource-overhead, non-intrusive and high-real-time data flow monitoring is achieved, and the method effectively adapts to a high-speed loopback test scene.

The application discloses an industrial vehicle identity recognition and unlocking system based on image recognition and fingerprint comparison, comprising: a multi-modal biological feature modeling module for collecting face images, voice prints and fingerprints to generate identity potential vectors; an identity verification and unlocking control module for performing authorization comparison based on the face, the fingerprint and the identity potential vectors and outputting an unlocking instruction; a running track construction module and a baseline track generation module for constructing a running track set and a baseline track set to obtain a differential feature sequence; a decomposition reward structure construction module and a MaxEnt IRL learning module for constructing a basic reward and a personalized reward to establish an improved MaxEnt IRL model; a time sparse strategy solving module and an instrument control execution module for solving a time sparse instrument control strategy and generating an instruction after identity verification is passed. The application improves the industrial vehicle enabling safety and the effectiveness of alarm decision in the running process.

The application relates to the technical field of data processing, and discloses a city-level intelligent community multi-source heterogeneous data standardization management method, which comprises the following steps: acquiring heterogeneous data messages and generating a structure topology fingerprint, performing differential processing according to a fingerprint comparison result; when the comparison result is inconsistent, extracting time sequence statistical features of unknown fields to construct a physical feature vector, and calculating the topological structure correlation among the unknown fields to construct a topological distance matrix; based on the physical feature vector and a standard field reference vector, combining the topological distance matrix to construct and solve a global mapping loss function, and establishing the mapping relationship between the unknown fields and the standard fields; generating a streaming mask according to the mapping relationship and a message network communication protocol type, and extracting and storing standardized data based on the mask. The application can perceive message structure changes through a structure fingerprint, and can constrain a mapping relationship by combining space-time joint features, so that the accuracy of heterogeneous data mapping conversion and the system processing efficiency are improved.

The invention relates to the technical field of computer network security, and discloses a host and network card binding method based on read-write of a network card EEPROM (Electrically Erasable Programmable Read-Only Memory). The method comprises two technologies: 1, a binding technology: operating a binding program through an external medium, collecting hardware information of a host to generate a fingerprint, encrypting the fingerprint through a private key, writing the encrypted fingerprint into a network card EEPROM, and performing read-back verification to realize one-to-one binding of the host and the network card; and the verification control technology runs when the host is started, generates a real-time fingerprint and compares the real-time fingerprint with a fingerprint bound in the EEPROM, if the real-time fingerprint is consistent with the fingerprint bound in the EEPROM, the network card is allowed to work and enters an NAC / AAA process, and if the real-time fingerprint is not consistent with the fingerprint bound in the EEPROM, the network card is prevented from being used for communication, so that the access request is rejected and is recorded to be abnormal According to the method, hardware does not need to be newly added, the method can be implemented only by relying on an existing network card EEPROM and a system tool, the network card is effectively prevented from being replaced or forged, the cost is reduced, and the safety and manageability of network access are improved.

The application belongs to the technical field of communication network operation and maintenance and infrastructure management, and discloses a communication infrastructure full life cycle management system based on digital twinning, which is applied to a communication network including a core network, a bearer network and an access network. The system is provided with a communication infrastructure object library, a life cycle event management and fingerprint generation device, a digital twinning management device and a fingerprint consistency comparison and trajectory reconstruction device on the center side, and is provided with a report message processing device on the edge node. By collecting design, construction and operation phase events according to infrastructure sections, fixed length life cycle fingerprints are generated and reported with state messages, fingerprint comparison and necessary life cycle trajectory reconstruction are carried out in the digital twinning model, high-risk infrastructure sections are marked in combination with event statistical results and topological relationship, and maintenance strategies are generated, so that the full life cycle fine management of the communication infrastructure is realized.

The invention relates to a data model synchronization method and device, computer equipment, a readable storage medium and a program product. In response to a synchronization detection instruction, when it is detected that a difference exists between a data fingerprint and a historical fingerprint of metadata of a data table, a data change type of the metadata is determined based on a comparison result of the metadata and historical metadata corresponding to the historical data fingerprint, and a synchronization strategy corresponding to the data change type is used for synchronizing the metadata. And performing synchronous processing on the data model. Compared with a traditional mode of carrying out synchronous detection through a data source full-amount comparison mode, according to the scheme, lightweight fingerprint comparison is utilized, and different synchronization strategies are adopted for different data change types to carry out synchronization, so that the data model synchronization efficiency is improved.

The invention discloses a USB interface information security prevention and control method and system, and relates to the technical field of computer information security. A security control module is connected in series between a USB port of a monitoring host and a peripheral, and protection is moved forward to the early stage of power-on and enumeration, so that access and permission limitation with equipment fingerprints and industrial semantics as cores are realized, and the security of the USB interface is ensured. The attack surface is converged at the access moment; performing fingerprint comparison by using information such as VID / PID, descriptor consistency, PD / CC handshake and the like, so that the camouflage equipment is difficult to pass initial identification; enumeration limit and endpoint-level bandwidth / type control are adopted for the released equipment, mass storage is forbidden by default, only HID and authorized necessary endpoints are reserved, and harm of instruction injection and high-frequency burst is weakened from the source; in a session stage, a normal behavior model is constructed by endpoint access distribution, function code transfer and frame interval statistics, and identification of instructions with compliant formats and abnormal semantics is realized based on a deviation degree score and an adaptive threshold.

The invention belongs to the technical field of communication network operation and maintenance and infrastructure management, and discloses a communication infrastructure full life cycle management system based on digital twinning, which is applied to a communication network comprising a core network, a bearer network and an access network. According to the system, a communication infrastructure object library, a life cycle event management and fingerprint generation device, a digital twin management device and a fingerprint consistency comparison and trajectory reconstruction device are arranged at a center side, and a report message processing device is arranged at an edge node. The method comprises the following steps: collecting design, construction and operation and maintenance stage events according to an infrastructure section, generating a life cycle fingerprint with a fixed length, reporting the life cycle fingerprint along with a state message, and carrying out fingerprint comparison and necessary life cycle trajectory reconstruction in a digital twin model; and marking the structural high-risk infrastructure section in combination with an event statistical result and a topological relation, and generating a maintenance strategy, thereby realizing full-life-cycle fine management of the communication infrastructure.

The application discloses a GIS partial discharge online monitoring false alarm suppression method and device, equipment, medium and product, and relates to the technical field of power equipment state monitoring. The method comprises the following steps: acquiring multi-source signal data; performing fingerprint comparison based on online monitoring signal data and external interference signal data to determine an interference fingerprint comprehensive similarity; performing interference fingerprint identification processing based on the interference fingerprint comprehensive similarity to obtain an identification result; performing online inspection of sensor fitting degree according to the identification result and a sensor state quantity to obtain a verification evaluation result; performing fusion decision according to the interference fingerprint comprehensive similarity and the verification evaluation result, and performing state grading processing to obtain a grading processing result; and using the grading processing result to determine whether the fusion decision result is a false alarm category, so as to perform false alarm suppression. The application can realize online interference discrimination and fusion decision, and false alarm suppression.

The invention discloses an industrial unstructured data processing method and system, and relates to the technical field of data storage. The method comprises the following steps: firstly, calculating an overall fingerprint of a to-be-stored industrial unstructured data file so as to carry out global de-duplication; if the file is not hit, slicing the file and calculating the fingerprint of each fragment so as to perform deduplication comparison on finer granularity; and finally, through two-stage Hash fingerprint comparison and reference counting management, only writing the unique fragment into a storage system according to a protection strategy configured by a file, and binding and recording the physical position of the unique fragment and the fragment fingerprint in a metadata warehouse. Therefore, the core problems of metadata performance bottleneck, data consistency risk under network faults, low fixed block duplicate removal efficiency and the like of traditional distributed storage in an industrial scene can be fundamentally solved, industrial data management with high throughput, strong consistency and optimized storage efficiency is realized, and practical application and popularization are facilitated.

1. The name of this design product: Fingerprint USB device. 2. Purpose of this design product: This design product is used to store user private keys and digital certificates, and protect user usage rights through fingerprint comparison. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the design points: three-dimensional picture.

This invention belongs to the field of artificial intelligence security technology, specifically relating to a corpus security detection method, system, and computer-readable storage medium. The corpus security detection method includes: S1, preprocessing the original corpus to obtain paragraph-level corpus text; S2, inputting the paragraph-level corpus text into a five-dimensional detector to obtain a five-dimensional risk score; wherein, the five-dimensional detector includes a harmful information classifier, a sensitive entity identifier, a low-quality scorer, a false statement verifier, and a confidential fingerprint comparer; S3, weighting and fusing the five-dimensional risk scores to obtain a comprehensive risk score; S4, determining whether the comprehensive risk score is greater than a blocking threshold; if so, blocking is performed. This invention can perform integrated real-time detection of harmful, sensitive, low-quality, false, and confidential information in large-scale pre-training corpora before training, achieving real-time blocking before streaming into the database, and is applicable to corpus cleaning at various stages such as large model pre-training, fine-tuning, and continuous pre-training.

A computerized method and system enables secure association of digital content with physical items through image-based authentication and augmented reality display. The method and system captures a key associated with a physical item and receives an image of the item via a mobile computing device's camera. The system processes the captured image to generate a unique fingerprint value, which is then compared against reference values using software accessed through the captured key. Upon successful authentication based on both the key and fingerprint comparison, the system retrieves associated digital content items from storage and generates an augmented reality display that overlays the content onto the live image of the physical item on the mobile device screen. This approach provides a secure mechanism for linking digital information to real-world objects while delivering an interactive augmented reality user experience.

The invention is suitable for the technical field of data processing, and provides an underground water pollution tracing method and device and terminal equipment. The method comprises the following steps: performing water quality fluorescent fingerprint detection on a first underground water sample collected at a first monitoring point position in a target area to obtain a first water quality fluorescent fingerprint; comparing the first water quality fluorescent fingerprint with a water quality fluorescent fingerprint pre-stored in a database, and determining a first similarity between the first water quality fluorescent fingerprint and the pre-stored water quality fluorescent fingerprint; when a first similarity between a second water quality fluorescent fingerprint in the database and the first water quality fluorescent fingerprint is greater than or equal to a threshold value, collecting an underground water sample at a downstream point location of the first monitoring point location, and determining a second similarity between the water quality fluorescent fingerprint of the underground water sample and the second water quality fluorescent fingerprint; and when the second similarity is greater than a threshold value, determining the pollution source of the first monitoring point position according to the known pollution source of the second water quality fluorescence fingerprint. The spatial rationality and reliability of groundwater pollution tracing can be improved.

The present specification provides a fingerprint data processing method and system. Based on the method, before implementation, at least two fingerprint chips with small sensing areas are cascaded to obtain a fingerprint collection unit applicable to a fingerprint processing scene with a large sensing area requirement; and the fingerprint collection unit is connected to a fingerprint processing unit through a preset interface; during implementation, the fingerprint processing unit can send a first chip selection signal and a second chip selection signal to the fingerprint collection unit in sequence, so that a first sub-fingerprint image on a first sub-sensing area and a second sub-fingerprint image on a second sub-sensing area are collected by a first fingerprint chip and a second fingerprint chip respectively; and then, according to a preset processing rule, the first sub-fingerprint image and the second sub-fingerprint image are processed respectively to perform fingerprint comparison. Thus, by effectively utilizing multiple fingerprint chips with small sensing areas, accurate fingerprint data processing can be realized in a fingerprint processing scene with a large sensing area requirement.

The application discloses a kind of multi-wireless device programming control systems, including multi-wireless device information acquisition module, equipment dynamic mapping processing module and control information output module, the present application relates to wireless device control technical field, solve the technical problem that from passive maintenance to predictive maintenance change is realized while the adaptive identification and dynamic loading of protocol stack cannot be realized, the double mechanism of fingerprint comparison+active detection backstepping is passed in the present application, system can automatically identify the protocol type of unknown equipment, according to the identification result, corresponding protocol stack image is dynamically pulled and started, new protocol can be supported without restarting gateway, reduce the cost and time of new equipment access, establish the unified semantic model including attribute, method, event three layers, shield the difference of underlying protocol, using dynamic script generation engine, automatically compile uplink analysis / assembly script, realize the automatic conversion of private protocol to standard format, improve development efficiency and system maintainability.

The invention discloses an information security vulnerability management method, device and equipment and a readable storage medium, and the method comprises the steps: obtaining vulnerability data and enterprise asset data, and generating an asset fingerprint according to the enterprise asset data; performing fingerprint matching and semantic association on the vulnerability data and the asset fingerprint to obtain asset associated vulnerability data; and generating a vulnerability repair task according to the asset associated vulnerability data, and after the vulnerability repair task is completed, performing vulnerability reproduction verification and fingerprint comparison verification to obtain a vulnerability repair verification result. In information security vulnerability management, vulnerability matching is performed through a double-association mechanism of fingerprint matching and semantic association, so that the matching accuracy of assets and vulnerabilities is improved; automatic repair verification is carried out through a dual verification mechanism of vulnerability reproduction and fingerprint comparison, so that verification efficiency is improved, misjudgment is avoided, and the reliability of information security vulnerability management is effectively improved.

The invention relates to the technical field of biological feature recognition, and discloses a fingerprint unified identity authentication platform which comprises a fingerprint registration module, a template synthesis module, a data storage module, a fingerprint comparison module and a dynamic threshold adjustment module. According to the unified fingerprint identity authentication platform, the fingerprint templates are stored in the database in a centralized manner in a hexadecimal data format through the unified fingerprint identity authentication platform, multi-system redundant storage is eliminated, the management complexity is reduced, unified encryption strategy and authority level-to-level management are supported, the risk of data leakage or tampering is prevented, and the user experience is improved. A user does not need to repeatedly register fingerprints in a plurality of systems, the operation process is simplified, the fingerprints are loaded to the memory space of the server in a binary data form based on multithreading, concurrent loading and comparison operation, and the fingerprint data are processed in parallel, so that the recognition efficiency and accuracy are improved.

The present application provides a method, apparatus, device, and medium for comparing picture fingerprints based on a large integer type. By setting a large integer type with a custom byte length, the picture id of M bytes and the picture fingerprint of N bytes are stored to form a storage data of at least M + N bytes; each piece of the storage data is arranged in ascending order and sequentially stored in files with different range sizes; the storage data to be compared stored in the same way as above is obtained, and the target file with an appropriate range size is located according to the high X bits of the N bytes of its fingerprint; if there is target storage data with the same high X bits stored in the file, the M-bit picture id of the corresponding target storage data is counted as one fingerprint hit. The present application sets a large integer type with an adjustable length to facilitate storage and comparison, greatly improving the efficiency of picture storage and picture fingerprint comparison.

The invention relates to a data coupling integrity verification method, system and device in flood simulation, and belongs to the technical field of water conservancy information. Performing list layer verification, explanation file integrity verification, quantity consistency verification, section space rationality verification and elevation repeatability verification; performing Hash fingerprint comparison on a section elevation array, and if 100% repetition is found, marking and alarming; and performing automatic screenshot on all the verification mark items to generate a manual review list, wherein the manual review list comprises a screenshot path, exception description and suggested repair suggestions. According to the method, the examination efficiency of data integrity is improved, and the standardization, reusability and reliability of the flood simulation model library are also remarkably improved.

The invention discloses a digital member right automatic distribution and management system based on a block chain, and relates to the technical field of digital member right management, and the system comprises a state fingerprint generation module, a state summary communication module, a consistency feature extraction module, a consistency risk assessment module, and an intelligent contract delay control and rollback module. And the state fingerprint generation module is used for extracting key parameters representing the current block chain state from the chain account book unit and the consensus unit, and performing feature coding, hash compression and instruction stream abstract modeling on the key parameters to form a state fingerprint which uniquely identifies the current node chain state. According to the invention, through state fingerprint comparison and a support vector machine risk assessment mechanism, intelligent delay and rollback control of issuing of key rights and interests on a chain are realized, issuing accuracy and system stability in an abnormal state are improved, and risks of wrong issuing, missed issuing and repeated issuing are effectively prevented.

The invention discloses a logistics package traceability data transmission system and method based on a block chain, and relates to the technical field of computer information. Original outer surface information of a logistics package is collected, and a filtering response matrix of a height field matrix is obtained through a filter bank; converting each filtering response matrix into binary sequence strings, splicing the binary sequence strings into binary feature codes, extracting invariant bits from the binary feature codes to form a feature code sequence, carrying out Hash calculation to obtain an original fingerprint, constructing a data volume containing identity codes, the original fingerprint, error correction auxiliary data and timestamps, and storing the data volume into a database; after being digitally signed by an elliptic curve, the data is broadcasted to a block chain, current surface features are acquired and processed to obtain a current feature code sequence, and the package integrity is judged by comparing with original fingerprints, so that the problem that data are credible but real objects are doubted due to the fact that a traditional tracing mechanism cannot effectively monitor the physical state of a package and trace tampering behaviors in the transportation process is solved.

The embodiment of the invention provides a certificate identification method, electronic equipment and a computer readable storage medium, in the certificate identification method, after the electronic equipment obtains a first image of a certificate used by a user, anti-counterfeiting identification is carried out on the certificate according to the first image, and the probability that the certificate is a legal certificate is obtained. When the probability is smaller than a first threshold value and larger than or equal to a second threshold value, the electronic device obtains a second image stored in the certificate and obtains a third image of the fingerprint of the user, and then fingerprint comparison is conducted according to the third image and the second image. And when the fingerprint comparison result is that the fingerprint of the third image is matched with the fingerprint of the second image, determining that the holder and the user of the certificate are the same person, so that the user can be considered to pass verification, the certificate verification safety can be effectively improved, and a large-amount transfer scene in a financial scene is taken as an example, so that the verification efficiency is improved. The security of certificate verification is improved, and the fund loss can be effectively reduced.