368results about "Matching and classification" patented technology

Object description information that is transmitted by a biometric recognition apparatus is received, the object description information includes a biometric feature of a target object and location information of the target object. Identity information of the target object is obtained according to the biometric feature. A service information set in association with the identity information is obtained. From the service information set, one or more pieces of candidate service information are selected. The one or more pieces of candidate service information are transmitted to a terminal device associated with the identity information. At least a first piece of target service information returned by the terminal device is received. At least a first service corresponding to the first piece of target service information is processed. Apparatus and non-transitory computer-readable storage medium counterpart embodiments are also contemplated.

The invention relates to a fingerprint lock dynamic encryption authentication method and system and a medium. The method comprises a registration stage and an authentication stage. Wherein in the registration stage, lock body environment real-time physical parameters are collected, and a dynamic environment secret key is generated through a chaotic mapping function; acquiring a user fingerprint, identifying core and non-core feature regions, and encrypting the two types of regions by combining a dynamic environment key and a user key to generate registration encrypted fingerprint data; and dividing the data into two data fragments by using a quantum noise source true random sequence, storing the first data fragment in a local security chip, and encrypting the second data fragment and storing the encrypted second data fragment in a cloud server. In the authentication stage, environment parameters are collected in real time to generate a verification key, and the verification key is compared with a registration key; and when the two fragments are consistent, recombining the two fragments to restore the encrypted fingerprint data, authenticating the fingerprint input by the user, unlocking if the authentication succeeds, and triggering risk grading processing if the continuous failure reaches a threshold value. The overall safety and reliability of the fingerprint lock system are improved.

The invention provides a fingerprint signal processing method and device and electronic equipment, and can be applied to the technical field of fingerprint identification. Based on the method, before specific implementation, fingerprint pixel units in a fingerprint pixel unit array circuit can be connected with a preset gain amplifier with adjustable gain, and an improved fingerprint pixel unit array circuit is obtained. In specific implementation, when a fingerprint related signal is received, a matched target convolution kernel is determined in the fingerprint pixel unit array circuit; wherein the range of the target convolution kernel comprises a plurality of fingerprint pixel units; and traversing the fingerprint pixel unit array circuit by using a target convolution kernel, and processing the fingerprint related signal to obtain a target fingerprint signal. Therefore, the fingerprint pixel units in the fingerprint pixel unit array circuit can be fully utilized, the received fingerprint related signals are processed by constructing and using the corresponding target convolution kernels, the signal-to-noise ratio of the signals is effectively improved, and target fingerprint signals with high quality are obtained.

A fingerprint information processing apparatus includes: an output unit that outputs a certainty factor that is an index indicating probability in which fingerprints indicated by a fingerprint image correspond to at least one of a plurality of pattern types, by using the fingerprint image and a learning model constructed by machine learning using learning data including a sample image indicating fingerprints; and a processing unit that performs processing based on the certainty factor.

In a biometric identification system, a transparent body can have a curved platen surface. The curved platen surface can be removably contacted by an anatomy of a user. The anatomy can have an anatomical pattern. An illumination source can illuminate the curved platen surface with an illumination beam. The illumination beam can propagate away from the curved platen surface as a return beam having a beam pattern shaped to correspond to the anatomical pattern. An imaging lens can focus the return beam to form a real image of the beam pattern at an image location. Field-curvature-correcting sensor optics can include a sensor. The sensor can sense the real image of the beam pattern at the image location. The field-curvature sensor optics can include a planar sensor and an image-flattener lens. The field-curvature sensor optics can include a curved, convex sensor.

The invention discloses a novel graph contrast learning framework with mutual information maximization, and relates to the technical field of graph contrast learning, multi-modal learning and mutual information maximization. The framework comprises the following steps: constructing a nearest neighbor graph, spreading similar samples to data of a missing mode, optimizing a loss function, and performing clustering optimization. The existing method has two main problems: (1) the existing method is mostly suitable for complete data and has a poor processing effect on data of a missing mode; and (2) the current palmprint and palm vein fusion recognition technology does not completely capture the complex relationship between the palmprint and palm vein features, resulting in inaccurate clustering result. According to the method, the modal loss in the incomplete palm print and palm vein fusion recognition task is effectively reduced, and the clustering performance is enhanced. According to the method, the mutual information maximization loss function is introduced, the adaptability and robustness of the model to incomplete data are effectively enhanced, and the method has high recognition precision and clustering performance when processing incomplete multi-modal data.

A fingerprint anti-counterfeiting method and apparatus, an electronic device and a storage medium are provided. The method includes: determining time-domain characteristic information and frequency-domain characteristic information of a target ultrasonic signal, where the target ultrasonic signal is an echo signal reflected back to an ultrasonic fingerprint module within a continuous time interval during which a fingerprint carrier enrolls a fingerprint via the ultrasonic fingerprint module; and determining authenticity of the fingerprint enrolled by the fingerprint carrier via the ultrasonic fingerprint module, based on the time-domain characteristic information and the frequency-domain characteristic information.

Certain aspects of the present disclosure provide techniques and apparatus for biometric authentication using neural-network-based anti-spoofing protection mechanisms. An example method generally includes receiving an image of a biometric data source for a user; extracting, through a first artificial neural network, features for at least the received image; combining the extracted features for the at least the received image and a combined feature representation of a plurality of enrollment biometric data source images; determining, using the combined extracted features for the at least the received image and the combined feature representation as input into a second artificial neural network, whether the received image of the biometric data source for the user is from a real biometric data source or a copy of the real biometric data source; and taking one or more actions to allow or deny the user access to a protected resource based on the determination.

A foldable electronic device may include: a housing including a first housing part, a second housing part, and a third housing part; a first hinge assembly rotatably connecting the first housing part and the third housing part, and including a first gear set for rotating the third housing part together with the rotation of the first housing part; and a second hinge assembly rotatably connecting the second housing part and the third housing part, and including a second gear set for rotating the third housing part together with the rotation of the second housing part. The number of gears included in the second gear set may be greater than the number of gears included in the first gear set.

The application provides a fingerprint identification device with small thickness and low cost and an electronic terminal. The fingerprint identification device comprises an optical film and an image sensor arranged along a first direction and at a first distance. The optical film comprises a first area and a second area with different light transmittances, and the first area and the second area form a first pattern. When the optical film receives light reflected from a first object, the optical film converts the light into an optical image with the first pattern and transmits the optical image to the image sensor. The image sensor is configured to receive an optical signal in the optical image and convert the optical signal into an electrical signal, and the electrical signal is used to construct an image of a surface of the first object reflecting the light. In an embodiment of the application, an electronic terminal comprising the aforementioned fingerprint identification device is provided.

The described voting system comprises two main components: an online verification device and an offline voting device. The verification device utilises a data interface to communicate with central databases for real-time voter verification, employing biometric sensors to ensure accurate voter identification and prevent duplicate voting. This system enhances security by generating a unique verification code for each verified voter. The offline voting device, designed to be immune to network-based threats, uses this code along with biometric verification to authenticate voters. It features a user interface that employs eye gesture technology, allowing voters to select candidates privately and securely through eye movements, without any visible indication of their choices to onlookers. This setup not only protects the integrity of the vote from cyber threats but also safeguards voter privacy and reduces the potential for voter intimidation, for a free, fair, and secure voting process.

The invention proposes a method for processing biometric data implemented by a connected proof entity (1) and a verification entity (2); the proof entity (1) having a candidate biometric data, a reference biometric data, a cryptographic hash of the reference biometric data, and a cryptographic hash of the candidate biometric data; the verification entity (2) having only a set of cryptographic hashes of reference biometric data of authorized users; the method comprising steps of: (a) generating by data processing means (11) of the proof entity (1) a zero-knowledge proof that the candidate biometric data and the reference biometric data match;(b) transmission to the verifying entity (2) of said zero-knowledge proof, the cryptographic hash of the candidate biometric data, and the cryptographic hash of the reference biometric data; (c) verification by data processing means (21) of the verifying entity (2) that: o the zero-knowledge proof is valid, and o the cryptographic hash received of the reference biometric data belongs to said set of cryptographic hashes of reference biometric data held by the verifying entity (2);

A foldable electronic device includes: a housing including a first housing portion, a second housing portion, and a third housing portion; a first hinge assembly rotatably connecting the first housing portion and the third housing portion, and including a first gear set for rotating the third housing portion with rotation of the first housing portion; and a second hinge assembly rotatably connecting the second housing portion and the third housing portion, and including a second gear set for rotating the third housing portion with rotation of the second housing portion. The number of gears included in the second gear set is greater than the number of gears included in the first gear set.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a controller of a user device having a rollable display device may obtain fingerprint information associated with a user interaction with a contact area of the rollable display device. The controller may obtain touch information associated with the user interaction with the contact area of the rollable display device. The controller may output, based on the fingerprint information and the touch information, actuation information that causes actuation of a display extending component of the rollable display device to change an extension state of the rollable display device. Numerous other aspects are described.

The invention relates to an electronic liquid medicine cup with timing, quantitative and positioning functions, which comprises a cup body unit, and further comprises an authorized opening unit, a timing and quantitative positioning unit and a control unit, the quantitative dosing unit is used for outputting quantitative liquid medicine; the medicine receiving unit enables the liquid medicine flowing out of the liquid outlet to fall into the drinking cup under the action of gravity; a timing module and a voice module are integrated on the central control unit, and the central control unit is used for processing the identity information, controlling the cup cover to be opened and closed, managing the medicine taking time sequence and controlling the quantitative operation of the quantitative medicine feeding unit. The intelligent liquid medicine monitoring system has the advantages that a plurality of functional modules such as liquid storage, identity authentication (fingerprint identification), electric quantitative dosing (a power pump and a one-way valve), electromagnetic locking, remote communication, GPS positioning and man-machine interaction (a display screen) are highly integrated, and a complete intelligent liquid medicine monitoring scheme is formed; and full-process automatic management from reminding, authentication, taking to monitoring is realized.

The application discloses a kind of earphone anti-misoperation control method and system based on fingerprint identification, it is related to the field of fingerprint identification, including, user static fingerprint data and dynamic fingerprint data are collected and preprocessed and stored in fingerprint database;Based on the real-time acquisition user dynamic fingerprint data, generate elliptical dynamic fingerprint window;Elliptical dynamic fingerprint window is converted into rectangular dynamic fingerprint window, and fingerprint feature point matching is carried out;User earphone use data is collected, and touch scene analysis model is constructed, and earphone use scene is obtained;According to earphone use scene, dynamically adjust the operation logic of earphone.The application generates rectangular dynamic fingerprint window, accurately captures the dynamic change of user finger in the touch process, can adapt to the change of finger in different operation, realizes the effective tracking and identification of real-time dynamic fingerprint, improves the accuracy of fingerprint matching, reduces misoperation, and enhances the adaptive capacity of system to complex touch operation.

A computer-implemented method for obtaining information on biometric features of a fingerprint of a user, the method comprising obtaining an image comprising an object carrying one or more biometric features of a user, the image having a size of N×M pixels, processing the image and determining information indicative at least of a presence of a biometric feature in the block and a kind of the biometric feature to obtain a result, and outputting the result identifying the information wherein the result has a form of n×m blocks of identical size and the result associates information indicative at least of a presence of a biometric feature and a kind of the biometric feature with each block, wherein N is an integer multiple of n and M is an integer multiple of m.

A device starting system and method. A display device and an accessory device are provided in the device starting system. When the display device is in a turn-off state and the accessory device is in a turn-on state, a user may perform an operation on the accessory device, and the accessory device collects to-be-verified fingerprint data in response to the operation of the user. Then, the to-be-verified fingerprint data is matched with pre-stored fingerprint data of the user, to identify whether an identity of the user is valid. If the to-be-verified fingerprint data successfully matches the fingerprint data of the user, the display device performs a turn-on operation. Alternatively, if the to-be-verified fingerprint data fails to match the fingerprint data of the user, the display device may output a first feedback.

User enrollment in a biometric identification system begins with a pre-enrollment process on a selected generic input device (GID), such as a smartphone. The user enters identifying data, such as their name, and may use the GID's camera to capture first image data, such as of their hand. The first image data is processed to determine a first representation. Upon presenting the hand at the biometric input device, second image data is captured. The second image data is processed to determine a second representation. If the second representation is deemed associated with the first representation, the enrollment process may be completed by saving the second representation for later use.

Embodiments of this application provide a user interface display method of a terminal, and a terminal. The method includes the following steps: when a screen of the terminal is off or the terminal displays a first interface, receiving, by the terminal, a first operation that is entered by a user to unlock the terminal, where the first interface is a lock screen of the terminal; displaying, by the terminal, a third user interface when determining that the first operation meets a preset unlock condition and that the user does not stop operating the terminal after entering the first operation; and in the third user interface, receiving, by the terminal, a second operation entered by the user, and executing a function corresponding to the second operation. In this solution, the terminal provides the third user interface when determining that the user does not stop operating the terminal after entering the unlock operation, and the second operation is entered in the interface, so that the terminal can directly execute the function corresponding to the second operation. The user can use a coherent operation to both unlock the terminal and enable the terminal to execute a function, thereby improving operation efficiency.

The application discloses a kind of stamp management terminal peripheral panoramic image in situ acquisition device and use method, including shell, trigger mechanism is provided at the top of shell, driving mechanism is provided in shell, stamp is installed on driving mechanism, when using, driving mechanism drives stamp to move and seals document for stamping, shell is also provided with identification mechanism for verifying the identity of user and multiple cameras for image acquisition when stamping, shell is set to the curved surface shape that can make each camera complete shell bottom area image acquisition.It has the advantages of improving efficiency and supervision integrity.

The invention relates to a business processing method and device, computer equipment, a storage medium and a computer program product. The method comprises the steps that to-be-tested voice is acquired, a first user account corresponding to the to-be-tested voice is determined, and the to-be-tested voice is sent by a user corresponding to the first user account; performing semantic recognition on the to-be-detected voice to obtain a semantic recognition result; when the semantic recognition result comprises service guidance information for guiding a second user account to trigger and execute an incentive service, obtaining service interaction information of the second user account for the incentive service; when the service interaction information shows that the second user account has triggered a service interaction operation for the incentive service according to the service guidance information, determining a target incentive resource corresponding to the incentive service; and pushing the target excitation resource to a resource account associated with the first user account. By adopting the method, the business promotion efficiency can be effectively improved.

This document describes systems and techniques directed at decoding radio frequency signal reflections into object embeddings for contextual triggers. In aspects, a computing device having a radar system and a radar manager is configured to transmit a transmission waveform signal and receive a reflection waveform signal that includes a version of the transmission waveform signal that is reflected by an object. Based on the reflection waveform signal, the radar manager generates an object embedding associated with the object and compares the object embedding to a previous object embedding to provide a comparison result. The radar manager determines, based on the comparison result, that the object embedding and the previous object embedding are associated with a same object. The radar manager communicates the determination to the computing device which, based on the determination, triggers a contextual event.

This invention relates to a pattern-serialized probabilistic method for industrial control system (ICS) flow fingerprint recognition. By abstracting flow data collected from ICS devices into patterns, pattern sequences can be extracted. Based on this, a suffix array algorithm is used to process the pattern sequences, thereby generating ICS device fingerprints. Finally, when device identification is required, the flow of unknown devices is abstracted into patterns, and corresponding query sequences are generated. These sequences are then slidably divided into multiple subsequences. Probabilistic matching is performed between these subsequences and the fingerprints of each device, and the result with the highest matching score is used as the identification result. This method can be applied to device fingerprint recognition in various industrial control systems.

An electronic device (1), including: a display panel (100), including a fingerprint recognition region (100a), the fingerprint recognition region (100a) including a central region (100b) and an edge region (100c) surrounding the central region (100b); an optical sensor (200), configured to collect a fingerprint image of a target object and including a plurality of photosensitive units (210), wherein a projection of the optical sensor (200) on the display panel (100) along a direction perpendicular to the display panel (100) is within the fingerprint recognition region (100a); and a controller (300), configured to control the brightness of a light spot pattern displayed in the fingerprint recognition region (100a) when the display panel (100) performs fingerprint recognition, such that the brightness of an edge region of the light spot pattern is greater than the brightness of a central region of the light spot pattern.

A biometric authentication device (30) for authenticating a person, which authenticates a person by comparing the biometrics of a person's body part (4) with pre-stored biometrics of body parts of a plurality of registrants, the biometric authentication device (30) being configured to: capture image data of a person's body part (4); determine at least one characteristic geometric body part attribute (Sf, Wf, Wh) of the person's body part (4) and the biometrics of the person's body part (4) from the captured image data; and define a comparison between the biometrics of the person's body part (4) and the pre-stored biometrics of body parts of a plurality of registrants, the pre-stored biometrics having a predetermined similarity level with respect to at least one characteristic geometric body part attribute (Sf, Wf, Wh) of the person.

Provided in the embodiments of the present application are an identity recognition method and apparatus, a device, a medium, and a program product. The method comprises: acquiring an feature map sequence of biological features; performing feature extraction processing on each biological feature map of a plurality of biological feature maps to obtain a feature vector of each biological feature map; performing fusion processing on the feature vector of each biological feature map to generate a fused feature vector; and, on the basis of the fused feature vector, performing identity recognition on the biological features so as to obtain a recognition result. Using the embodiments of the present application can extract richer feature information of the biological features, thereby improving the recognition accuracy and reliability of a subject to which the biological features belong.

An electronic device is provided. The electronic device includes a fingerprint sensor, a camera, and a processor operatively coupled to the fingerprint sensor and the camera. The processor may be configured to determine whether a plurality of biometric authentications are being performed when an input for performing user authentication is detected through the fingerprint sensor, stop user authentication using the camera if it is determined that the plurality of biometric authentications are being performed, and perform user authentication if a fingerprint image acquired through the fingerprint sensor matches a previously registered fingerprint image.

The invention relates to the technical field of automatic control, and discloses an auxiliary following and accompanying method, system and device for an automatic driving scooter, and the method comprises the steps: responding to a following or accompanying instruction, obtaining a visual image, and selecting a target accompanying person according to a preset recognition rule, the visual image at least comprising a preset accompanying person image; the relative position of the target accompanying person and the scooter is obtained in real time, and the driving path of the scooter is planned in real time according to the visual image, the relative position and the follow-up or accompanying preset position requirement; and acquiring motion information of the scooter in real time, and adjusting the motion information of the scooter according to the driving path of the scooter, so that the scooter follows or follows the target accompanying person according to the driving path. According to the invention, the feature information of the surrounding environment and the accompanying person is visually collected, and the deep learning model is combined to carry out target detection and identification, so that the target accompanying person is accurately identified and tracked, and the scooter is ensured to stably follow or accompany the target accompanying person in a complex and changeable environment.