34 results about "Biometric templates" patented technology

The invention discloses an Internet enterprise multi-mode identity verification method and system, and belongs to the technical field of Internet enterprise security, and the method comprises the steps: obtaining user historical behavior data, current transaction request data, equipment environment parameters and initial biological signal data, carrying out the risk assessment, and generating a verification path; obtaining a personalized verification sequence instruction, collecting a user face dynamic video stream, a real-time voice stream and response action time sequence data, carrying out cross-modal association comparison with a user reference biological feature template, outputting a biological feature confidence matrix, carrying out association analysis in combination with the obtained structured identity feature vector and risk assessment, and obtaining a personalized verification result; and generating a verification decision feature vector to judge a verification result state, and obtaining a pass instruction, a rejection instruction or a manual auditing request instruction. According to the method, dynamic risk-driven multi-modal verification path generation, cross-modal biological feature association decision and incremental learning mechanisms are adopted, so that the optimal balance between security and user experience can be realized in a complex network environment.

A self-contained biometric device, method, and system for secure digital transactions is provided. The device comprises a housing that may be a subdermal implant, dermally-applied biometric tattoo, ergonomic external wearable, or smart card. The housing maintains consistent secure functionality during offline and online operation modes and includes a biometric verification module that captures a biometric input of a user and performs user authentication entirely within the device. A hardware-isolated storage module physically isolated from external networks stores cryptographic keys, credentials, and biometric templates. The device permits access to the cryptographic keys and credentials only upon successful user authentication. A transaction processing module resident inside the hardware-isolated storage module executes digital asset transactions entirely within the device in offline mode. This self-contained architecture enables secure, autonomous operation without reliance on external networks or computation.

In various embodiments, enhancements for low-touch biometric systems include obtaining winnowing information when a biometric probe unsuccessfully matches against a subset gallery. The winnowing information is used to obtain biometric data from an associated group of people and the biometric probe is then compared against the biometric data. If this also fails, identity information may be obtained and used to obtain a corresponding biometric template to match the biometric probe against. In some embodiments, enhancements for low-touch biometric systems determining a dominant by selecting the largest live face in an image then performing one or more actions using the dominant. Such one or more actions may include selecting the dominant for capture, performing exposure control and / or gain control on the dominant as opposed to the rest of an image, determining guidance to provide for biometric capture based at least on a position of the dominant, providing such guidance, etc.

Some embodiments of the present application provide a method, device and electronic equipment for biometric identity authentication, the method comprising: acquiring a biometric feature of a to-be-identified object; comparing the biometric feature with a pre-registered biometric feature template library to determine a to-be-authenticated biometric feature template; acquiring key information bound to the to-be-authenticated biometric feature template; acquiring to-be-verified key information from the to-be-identified object, comparing the to-be-verified key information with the key information, and performing identity authentication on the to-be-identified object according to a comparison result. The method provided by some embodiments of the present application can effectively reduce the probability of identity error of an identified object, thereby protecting the security of network assets.

The application provides a card multi-modal biometric identification method, an integrated circuit card and a computer readable storage medium. The method comprises the following steps: in response to a multi-modal biometric verification instruction, randomly determining a plurality of specified biometric templates and an identification order of the plurality of specified biometric templates from a plurality of available biometric templates; acquiring a biometric probe corresponding to each specified biometric template according to the identification order one by one, and comparing each specified biometric template with the corresponding biometric probe; the comparison operation corresponding to a subsequent specified biometric template in the identification order is performed after the comparison operation of a previous specified biometric template is passed; and when all the specified biometric templates and the biometric probe are compared and passed, it is determined that the identity feature recognition is passed. According to the application, the biometric templates used for identification each time are different, and the selected biometric templates each time are random, so that the difficulty of biometric forgery and counterfeiting is improved.

The invention relates to an information processing method and device, equipment, a storage medium and a program product. According to one embodiment of the invention, the method comprises the following steps: in response to collected biological characteristic information, determining a shared biological characteristic template based on the biological characteristic information; and sharing the shared biological feature template to a device to be unlocked, so that the device to be unlocked performs biological feature recognition based on the shared biological feature template, and the device to be unlocked and the acquisition device log in the same account. According to the method and the device, the biological characteristic template sharing among multiple devices can be realized, and a user does not need to respectively input a new biological characteristic template on each device, so that a large amount of time can be saved for the user, and the user experience can be improved.

The application discloses a regional access identity permission authentication method based on a block chain, relates to the technical field of block chain identity authentication, and comprises the following steps: collecting real-time biological feature data and device fingerprint data of a user terminal, integrating the data to form a to-be-authenticated data packet, and submitting the data packet to a block chain smart contract; the smart contract calls a permission mapping table on a chain to match a corresponding on-chain identity identifier, starts a cross-chain verification protocol after identity verification, and simultaneously calls a plurality of off-chain identity sources to call a bound historical biological feature template; real-time biological data is compared with the plurality of historical templates to generate a comparison score matrix, a comprehensive trust score is calculated in combination with the device fingerprint data, and when the score meets an access threshold, an effective access token is issued to the user terminal. The method realizes multi-channel biological data collaborative verification, integrates device-specific information to complete qualification assessment, and optimizes the verification logic and judgment dimension of identity permission authentication in a regional access scene.

A biometric multi-account transaction card and associated transaction system. The card includes a card body conforming to ISO / IEC 7810 ID-1, a fingerprint sensor configured to capture user biometric data, an optical element for facial-recognition or optical sensing, and an integrated circuit contact module for EMV communication is disclosed. A secure element stores a non-reversible biometric template and multiple tokenized payment credentials organized in credential slots. A microcontroller executes biometric-matching algorithms, account-selection logic, and generates EMV-compliant cryptograms, while an NFC antenna enables contactless operation. A cooperating point-of-sale terminal displays account options received from the card and can perform facial recognition for multi-factor authentication. Upon successful authentication, the card transmits a tokenized payment credential corresponding to a selected account.

Described herein is a biometric identification technique that includes a gateway computer receiving a first set of encrypted match scores and a set of enrollment biometric template identifiers associated with the first set of encrypted match scores from a first database server. The first set of encrypted match scores are decrypted to obtain a first set of match scores, and a subset of enrollment biometric template identifiers of the set of enrollment biometric template identifiers is determined based on a subset of match scores in the first set of match scores. The subset of enrollment biometric template identifiers is transmitted to a second database server, wherein the second database server is programmed to compare a second encrypted reference biometric template to encrypted enrollment biometric templates corresponding to the subset of enrollment biometric template identifiers and generate a second set of encrypted match scores.

The invention relates to a method for generating an enhanced image and an associated apparatus. A method comprises, for each image forming part of a plurality of images of a display individual, applying (104) a process to the image in order to produce a biometric template relating to the individual, calculating (106) an average template constituting an average level of the produced biometric templates, modifying (110) a selected image (I0) from the plurality of images into a modified image (I1), the modification (110) being adapted so that an error between the average template (TM) and a biometric template produced by applying the process to the modified image is less than an error between the average template (TM) and the biometric template that has been produced by applying the process to the selected image (I0).

A governed computing system includes computing nodes, a governance layer, and a structured state representation maintained independently of execution logic. An interface receives interaction inputs and an intent interpretation component derives intended actions. The governance layer evaluates intended actions against structured state constraints and issues an authorization token bound to an action description and a digest of a structured state snapshot. A token validation component enforces the token at an enforcement boundary including hardware gating of a power path or signaling path, such that execution is structurally prevented absent a validated token. Identity evidence, when used, can include profile identifiers such as voiceprints and other biometric templates and can classify participants as enrolled users or unrecognized individuals. An independent reporting layer records authorization decisions and outcomes, including post execution confirmation signals from an observation channel, including object detection and classification and sound event recognition, to support audit and safety.

Systems and methods are provided for enhanced biometric authentication, based on proximity of mobile devices. One example computer- implemented method includes, for a biometric-initiated transaction, receiving an authentication request from a first party, where the authentication request includes a biometric specific to a user and captured at a point-of-sale (POS) terminal at the first party and a listing of token(s) and identifier(s). The method also includes identifying a biometric template based on the identifier, and identifying a device ID of a mobile device based on the token(s). The method further includes verifying that the device ID is bound to the identifier(s), compiling a response to the authentication request, and providing a transaction payload for the transaction to a payment service provider (PSP).

A system or method of authenticating a biometrically protected device without prior enrollment on that device can include one or more processors and memory where the memory includes computer instructions which when executed by the one or more processors causes the one or more processors to perform the operations of receiving a biometric reading, obtaining an encrypted biometric template from a server if a biometric template is not locally stored on a biometrically protected device to compare with the biometric reading, decrypting the encrypted biometric template from the server in response to a password to provide a decrypted biometric template, storing the decrypted biometric template locally on the biometrically protected device, and authenticating the biometric reading when the decrypted biometric template matches the biometric reading. The encrypted biometric template was previously uploaded to the server via an alternate biometric device.

A biometric identification technique is described herein that includes a gateway computer that receives, from a first database server, a first set of encrypted match scores and a set of registered biometric template identifiers associated with the first set of encrypted match scores. The first set of encrypted match scores is decrypted to obtain a first set of match scores, and a subset of registered biometric template identifiers in the set of registered biometric template identifiers is determined based on a subset of match scores in the first set of match scores. Transmitting the subset of registered biometric template identifiers to a second database server, wherein the second database server is programmed to compare a second encrypted reference biometric template to an encrypted registered biometric template corresponding to the subset of registered biometric template identifiers and generate a second set of encrypted match scores.

The present application relates to the field of financial security and biometric identification, in particular to a bank user identity verification method and system based on image recognition, comprising: obtaining a user's facial dynamic video and high-resolution iris image through a terminal; performing live detection and micro-expression analysis on the facial video to extract facial activity features, and performing texture enhancement and feature point positioning on the iris to extract iris structure features; fusing the two to generate an on-site biometric feature template, and comparing the template with a pre-stored registration template to generate a matching degree matrix; combining real-time transaction behavior and historical patterns to weight and calibrate the matching degree matrix, obtaining a calibrated score; determining the identity authenticity according to the comparison result of the calibrated score and the dynamic security threshold, and controlling account access and recording logs accordingly. The method enhances the anti-counterfeiting capability of live detection by analyzing micro-expression, and improves the adaptive security of identity verification for different risk scenarios through behavior context dynamic calibration.

An artificial intelligence-based system for safe and fair online reviews. The system includes: an investigation processing device comprising at least one high-resolution camera, a directional microphone array, a secure processor and a non-volatile storage medium; a facial recognition module running on the secure processor and configured to continuously authenticate a test subject by comparing live facial features with pre-stored biometric templates; an eye-tracking module that determines the angular displacement of the subject's head and eyes in relation to the display screen and generates deviation signals when thresholds are exceeded; a control module for object recognition that is configured to analyze video images captured by the camera in order to identify unauthorized devices, printed materials, or other people in the field of view; an audio anomaly detection module that processes input signals from the microphone array and detects unauthorized speech activity, secondary human voices, or irregular background noise patterns; a probability-based misbehavior detection engine that calculates a probability score for misbehavior by assigning weighted coefficients to the outputs of the face detection module, the eye tracking module, the object detection control module, and the audio anomaly detection module; and an automated scoring engine configured to evaluate both objective and subjective responses from candidates, with subjective responses being processed using semantic and syntactic natural language processing models to generate a score, and with all results and alerts being transmitted to a remote examiner dashboard via an encrypted communication channel.

A keypad device includes a biometric interface configured to acquire biometric inputs, a keypad, a memory configured to store one or more passcodes and one or more biometric templates, and a processor. The processor is configured to activate a biometric enrollment mode in response to an enrollment signal, receive one or more first biometric inputs acquired via the biometric interface, generate a biometric template based on the one or more first biometric inputs, store the biometric template within the memory, receive a second biometric input acquired via the biometric interface, activate a door deadbolt to unlock the door deadbolt in response to the second biometric input matching the biometric template within the memory, receive touch inputs acquired via the keypad, and activate the door deadbolt to unlock the door deadbolt in response to the touch inputs matching a respective passcode of the one or more passcodes stored within the memory.

The invention relates to the technical field of intelligent payment, in particular to an intelligent payment ring based on NFC and a payment system thereof. The system comprises a payment system configuration acquisition module, a payment security parameter solving module, a payment operation starting verification module and an NFC communication matching payment module. Payment account identity identification information, historical payment scene feature data and NFC equipment communication capability parameters submitted by a user through an intelligent payment ring can be obtained, and a payment system basic configuration data set is generated; associating the biological characteristic template library based on the payment system basic configuration data set and generating payment security nuclear parameters; and performing sensitive desensitization processing and operation starting binding on the payment system basic configuration data set based on the payment security nuclear parameter, performing payment operation verification and NFC communication matching verification at the same time, generating an encrypted payment instruction after the verification is passed, and sending the encrypted payment instruction to the intelligent payment ring to complete the intelligent payment operation. According to the invention, the security of NFC intelligent payment can be improved.

The invention relates to an identity authentication method and device, computer equipment, a storage medium and a program product. The method comprises the following steps: acquiring a biological feature code and a digital key of a target object, and generating a system key according to the length of the biological feature code; the biological feature code comprises a current feature code and a registered feature code; according to the digital key and the system key, performing encryption processing on the current feature code and the registration feature code to obtain a first ciphertext and a second ciphertext; performing homomorphic operation on the first ciphertext and the second ciphertext to obtain a ciphertext operation result; and performing identity authentication on the target object according to the ciphertext operation result and the system key. By adopting the method, the calculation complexity of biological feature template protection can be remarkably reduced and the calculation overhead of template protection can be remarkably reduced while the addition homomorphism is kept, so that the biological feature template protection can be efficiently performed in the encryption domain under the condition that the security is not lost, and the calculation complexity of identity authentication can be reduced.

The invention relates to the technical field of information security, in particular to a biological feature template protection method and system based on chaos. In the method, in a user registration and identity verification stage, the same random key bound with user equipment and the same irreversible transformation process based on chaos mapping are used; respectively generating a revocable biological feature template and a biological feature template for verification; according to the method, temporary encryption parameters are dynamically generated by using a chaotic system and are immediately destroyed, so that the dependence on storage of auxiliary parameters at a server side is eliminated, the structural defect of system security loss caused by leakage of the auxiliary parameters is overcome, finally, a verification conclusion is output through a comparison template, and the identification performance is considered while high security is ensured.

The application discloses a server authentication method based on biological characteristics and dynamic tokens, relates to the technical field of server authentication, and comprises the following steps: S1, biological characteristics and dynamic tokens are fused and registered; S2, two-way verification and authentication are performed; S3, scene-based dynamic adaptation is performed; S4, biological characteristic matching threshold time effectiveness is adjusted; S5, biological characteristics and dynamic tokens are synchronously refreshed; and S6, decay correlation permission management is performed. According to the application, biological characteristics are split into characteristic factors, and the characteristic factors are hierarchically embedded with characteristic segments of dynamic token basic keys according to weights, a unique biological characteristic and dynamic token fusion root key is generated, and the root key sub-segments are encrypted and stored in a terminal, a server and a third party by using a multi-party secret sharing mechanism, so that deep confusion fusion and distributed fault-tolerant storage of biological characteristic templates and key data are realized, and the problems that a static biological characteristic library is centralized, storage is vulnerable to library segment matching attacks, and a token key has a security risk when being stored at a single point can be solved.

This application relates to a reconstruction method and its application for security testing of biometric texture feature recognition algorithms. A high-quality reconstructed image is generated using an image reconstruction model, and this reconstructed image is used for reconstruction attacks. The security and privacy of the biometric recognition algorithm are fully evaluated based on four attack scenarios. The image reconstruction model includes a Dropout2D layer in the generator. The objective function of the image reconstruction model is constructed using adversarial loss, pixel loss, structural loss, and texture loss. A double-reuse training strategy is employed for two-stage training. This invention can reconstruct images that closely resemble the original image with limited data and is compatible with various biometric recognition methods, exhibiting universality. Furthermore, it can evaluate the security and privacy of biometric recognition algorithms, providing a reliable basis for selecting secure biometric templates and reliable biometric recognition algorithms.

The invention relates to the technical field of safety certification, in particular to a face recognition safety certification system and method based on edge computing, and the system comprises a binocular camera module which is used for synchronously capturing a face image pair; the ambient light sensor module is used for monitoring ambient light intensity and dynamically adjusting camera exposure parameters; the AI acceleration processing module is integrated with an NPU chip and operates a lightweight face recognition model to perform feature extraction and living body detection; the security encryption module is integrated with an encryption chip and is used for carrying out encryption storage and decryption comparison on the biological characteristic template; the data storage module is used for locally storing the encrypted biological characteristic template; and the system login module is registered to an operation system bottom layer authentication framework and submits an authentication token to realize password-free login. High-safety and high-precision offline face recognition and system-level seamless login are realized.

The invention discloses a digital currency payment method and system based on a multi-dimensional proof framework, relates to the technical field of block chain payment, and can improve the security and compliance level of digital currency payment. According to the scheme, after a user side establishes a near field communication link with a terminal, the transaction occurrence position and time of the user side and the terminal are verified based on the near field communication link, and space-time proof is generated after verification is passed; the user side compares the current biological characteristic information, collected by the terminal, of the user with a locally pre-stored biological characteristic template, a verification result certificate is generated after the comparison succeeds, the verification result certificate is digitally signed by using a private key, and an identity certificate is generated after the signature succeeds; wherein the biological feature template is associated and bound with the auditing KYC identity information of the user; and after the user side confirms the transaction information and the payment asset information, the server side carries out compliance verification on the payment assets, and after the verification is passed, the user side carries out transaction authorization and generates transaction willingness and asset compliance proof.

The invention discloses a server authentication method based on biological characteristics and dynamic tokens, and relates to the technical field of server authentication, and the method comprises the steps: S1, carrying out the fusion registration of the biological characteristics and the dynamic tokens; s2, bidirectional verification authentication; s3, scene-based dynamic adaptation is carried out; s4, adjusting the timeliness of a biological characteristic matching threshold value; s5, synchronously refreshing the biological characteristics and the dynamic token; and S6, controlling the attenuation association authority. According to the method, the biological characteristics are split into the characteristic factors, the characteristic factors and the characteristic fragments of the basic key of the dynamic token are layered and embedded according to the weight, the unique fusion root key of the biological characteristics and the dynamic token is generated, and the sub-fragments of the root key are encrypted and stored in the terminal, the server and the third party by adopting a multi-party secret sharing mechanism. According to the method, deep confusion and distributed fault-tolerant storage of the biological feature template and the key data are realized, and the problems that a static biological feature library is concentrated, storage is easily attacked by library segment matching, and potential safety hazards exist when token keys are stored at a single point can be solved.

The invention discloses a plant station user security authentication management method and system based on multi-type biological recognition, and the method comprises the steps: controlling a biological authentication mode through mode selection, inputting the biological information of a corresponding person by a system administrator, and binding the biological information with an account of the corresponding person; the offset file for verifying the password is encrypted and stored, the key is a value mapped by a user name, when the password is verified, the offset file and the key are obtained through decryption, the password is decrypted by using an sm4 algorithm, the integrity of the password is verified by using sm3, biological information verification is carried out if the verification is passed, and living body detection is carried out firstly; and comparing the biological feature vector with a biological feature template pre-stored in a library after the verification is passed, and successfully logging in after the verification is passed. The anti-interference, anti-counterfeiting and compliance requirements of the authentication technology in the power production environment are met, the identity of an operator is ensured to be true and credible, and the information safety protection capability of a power system is improved.

A homomorphic encryption scheme, such as Paillier encryption and a bit packing process, allows biometric matching at the terminal without exposing the biometric template stored on the user device. Since such encryption schemes are data intensive, the bit packing process is able to reduce the data sent and processed, so that the biometric matching process can be completed in near real-time. The speed of this optimized process makes this technology applicable to many real-world processes, such as access control and transaction processing.