60 results about "Biometric templates" patented technology

A computer-implemented method and system for privacy-preserving location verification in distributed networks comprises initializing a multi-modal biometric authentication system on a user device, generating cryptographic keys using a distributed key generation protocol, binding the cryptographic keys to biometric templates using a fuzzy vault scheme, constructing and broadcasting encrypted location beacons, and generating zero-knowledge proofs of location claims. The system includes user devices equipped with biometric sensors and verifier devices configured to validate location claims and maintain consensus in a blockchain network. The method implements real-time liveness detection for multiple biometric input types, executes fault-tolerant consensus algorithms with privacy preservation, and maintains a dual-scoring mechanism comprising device trust scores and user reputation scores. The system enables secure location verification while preserving user privacy through cryptographic protocols and biometric authentication in decentralized environments.

The invention discloses a user identity authentication method and system based on breathing sound, and the method comprises the steps: capturing an in-ear breathing signal from the interior of an ear canal through an ear-wearing device, and carrying out the denoising of the in-ear breathing signal, and obtaining a breathing denoised signal; utilizing a Gaussian mixture model to respectively calculate the probability that each frame of breath denoising signal belongs to a breath event and a non-breath event to obtain a breath prior probability and a non-breath prior probability, and segmenting the breath denoising signal to obtain a breath segment signal; extracting a biometric identifier from the respiratory segment signal; inputting the biological feature identifier into a pre-trained triple neural network, and calculating the similarity between the biological feature identifier and a pre-stored biological feature template; performing user identity authentication according to the similarity; according to the method, the biological characteristics which are difficult to counterfeit are extracted from the breathing sound, spoofing attacks can be resisted to a high degree, and meanwhile the method has high resistance and adaptability to environmental noise and breathing behavior changes.

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.

Disclosed are systems and methods including computing-processes executing machine-learning architectures extract vectors representing disparate types of data and output predicted identities of users accessing computing services, without express identity assertions, and across multiple computing services, analyzing data from multiple modalities, for various user devices, and agnostic to architectures hosting the disparate computing service. The system invokes the identification operations of the machine-learning architecture, which extracts biometric embeddings from biometric data and context embeddings representing all or most of the types of metadata features analyzed by the system. The context embeddings help identify a subset of potentially matching identities of possible users, which limits the number of biometric-prints the system compares against an inbound biometric embedding for authentication. The types of extracted features originate from multiple modalities, including metadata from data communications, audio signals, and images. In this way, the embodiments apply a multi-modality machine-learning architecture.

An electronic locking device includes an electronically controllable locking mechanism, a memory, a wireless transceiver configured to communicate wirelessly with a user device to receive an encrypted package containing a biometric template corresponding to an authorized user, and a processor. The processor is configured to decrypt the encrypted package and store the biometric template in the memory, receive a biometric input corresponding to a user attempting to access the electronic locking device, determine if the biometric input matches the biometric template of the authorized user, and activate the electronically controllable locking mechanism in response to a determination that the biometric input matches the biometric template of the authorized user.

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.

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.

Disclose a method. A digital assistant device receives a biometric sample from a user and then converts the biometric sample into a biometric template. The digital assistant device may scan user devices within the communication range of the digital assistant device to receive user device identifiers. The digital assistant device may send an authentication request including the biometric template and at least one user device identifier to a server computer. The digital assistant device may then receive a password request message including the at least one user device identifier from the server computer. The digital assistant device may send the password request message to the user device corresponding to the at least one user device identifier and may then receive a password. The digital assistant device may then send the password to the server computer. The server computer verifies the password before further processing the transaction.

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.

A method and system for secure remote digital interactions through the use of biometric templates is disclosed. In one example, the method includes an interaction that prompts the use of obtaining a first biometric template and comparing it to a second biometric template to determine if they match. The match process is performed on a portable device.

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.

In an embodiment, a computer-implemented method for decoding neural activity is provided. In the method, at least one machine learning model is trained using a training data set of EEG data and concurrently collected environmental data collected from data collection participants. Once the at least one machine learning model is trained, EEG data measured from sensors attached to or near a user's head is received. Environmental data describing stimulus the user is exposed to concurrently with the measurement of the EEG data is also received. The EEG data and the environmental data is input into the at least one machine learning model to determine an inference related to the neural activity. Based on the inference, an operation of a computer program is altered.

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.

Face recognition method comprising, in an enrollment phase, capturing a biometric feature e.g. face of user / s uE, and / or extracting therefrom a biometric template for the user, and / or extracting a hash-value from the template and / or deriving a value more stable and / or more deterministic and / or less noisy than the template; and / or hashing and / or saving this value e.g. as hashed and / or subsequently processing a user uL alleging s / he is uE by comparing this value as saved to a value derived from a biometric feature e.g. face captured from user uL.

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 system and method for biometric-authenticated personal health monitor data compaction with clinical trial optimization is disclosed. The system receives biometric signals from multiple sensor modalities associated with a patient and extracts distinctive biometric features using signal processing algorithms. Patient identity verification is performed by comparing extracted features against stored biometric templates, generating cryptographic keys derived from verified biometric characteristics. Health data is divided into sourceblocks and encoded using multiple compression codebooks enhanced with biometric-derived cryptographic keys. Optimal encoded sourceblocks are selected based on compression efficiency and statistical preservation requirements. A clinical trial data optimization engine classifies health data by type and endpoint significance, determines statistical preservation requirements for regulatory compliance, and validates that compressed data maintains required statistical properties for clinical analysis. The system implements multi-modal biometric fusion, liveness detection, emergency override capabilities, and security controls including role-based access control and audit logging for secure clinical trial data management.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for enhancing biometric authentication are disclosed. According to a method, A circumferential biometric template (CBT) of a particular entity is generated based on one or more images of the particular entity. A request to access an item is received wherein the request includes an identifier corresponding to the particular entity. Circumferential biometric data (CBD) for one or more physical characteristics of an entity depicted in an image captured by an image capture device is obtained, Authentication outcome data indicating whether the CBD matches the CBT of the particular entity is generated. Access to the item is granted when the authentication outcome data indicates that the CBD matches the CBT of the particular entity. Access to the item is denied when the authentication outcome data indicates that the CBD fails to match the CBT of the particular entity.

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.

The present invention relates to the field of biometric recognition technology, and more specifically, to a palm template protection and recognition method and device based on a multi-modal shared key. The present invention generates a random key that is not related to the original biometric feature, and then encrypts it to form a biometric template, thereby realizing and strengthening the irreversibility of the feature; also constructs and trains a shared key generation network to transform palmprint and palm vein into the same feature space, while realizing end-to-end encryption of the biometric template, improving the correlation between modalities and the security of the template; also introduces LDPC encoding and decoding to realize key error correction, reduce noise interference, and improve the discriminability of the key. The present invention can simultaneously improve the discriminability, correlation, and security of multi-modal features, and the recognition rate is also improved, solving the problems that existing methods do not integrate template protection and the recognition rate is not ideal in some cases.

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).

The invention discloses a distributed identity remote authentication method and device and a storage medium, and relates to the field of information security and the technical field of block chains. The method comprises the following steps: converting biological characteristic data of an ith user into a biological characteristic template through user equipment; the biological feature template and the conversion parameter are segmented into N pieces of share information through the user equipment, X pieces of share information in the N pieces of share information are stored in a block chain, Y pieces of share information are stored in an application server, and Z pieces of share information are stored in the user equipment; after the user equipment sends an authentication request to the application server, the share information is read from the block chain through the application server, and the read share information is sent to the user equipment; and verifying the authentication request by the user equipment according to the share information received from the application server. According to the invention, the technical problem of low user identity information authentication security caused by easy cracking of information in the existing identity authentication process is solved.

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.

A biometric authentication platform uses fault-tolerant distributed computing to determine if a supplied biometric live scan and template are from the same person. Features provide additional protection for biometric data. The template and live scan may be encrypted using a symmetric encryption key. The encrypted template and live scan may be sent with copies of the symmetric key, each copy further encrypted by a public key associated with one processor's public-private key pair. Each processor may decrypt a copy of the symmetric key, which may then be used by the processor for decrypting the live scan and template for matching. A decentralized user ledger may store an encrypted copy of the biometric template, with the key stored locally in a registered device. Alternatively, a decentralized user ledger may store a hash of the biometric template, for verification of a template that is maintained on a registered device.

The present invention provides a method for digitally signing an electronic message in a secure, privacy-preserving, and device-free manner by presenting a biometric probe to a computer terminal, where the biometric probe never leaves the terminal, and any data leaving the terminal cannot reveal the presented biometric characteristics. The user's biometric sample is converted into a cancelable biometric template (CBT) and initiates multi-party computation (MPC) with a set of computer servers to perform a key inception algorithm and distribute secret shares to the participating servers, as well as to generate relevant parameters. Once registered, the user may present a biometric probe on another computer terminal and retrieve the account parameters using a privacy-preserving method. The account parameters are used with the biometric probe to produce a digital signature by performing MPC. Custodian servers may participate in this method to allow for alternative identification.