Abstract: A biometric information processing device including: a memory; a processor coupled to the memory and the processor configured to: extract a surface pattern and a blood vessel pattern of a living body from a biometric image; extract a feature point of the surface pattern; and extract a feature of the blood vessel pattern corresponding to a position of the feature point.

Abstract: A system and method for identifying a subject based upon ear recognition using a convolutional neural network (CNN) and handcrafted features, wherein an ear in an image is cropped using ground truth annotations and landmark detection is performed to obtain the information required to normalize pose and scale variations. The normalized images are then described by different feature extractors and matched through distance metrics. Finally, scores are fused and a subject identification decision is made.

Abstract: A method for fingerprint unlocking is provided. Whether fingerprint ridges of fingerprint images obtained are discontinuous or fuzzy is determined, in response to a fingerprint recognition module being detected to be pressed. If YES, Multiple fingerprint images are acquired, by acquiring fingerprints more than once with any first adjustment level selected from an ADC offset including M first adjustment levels and any second adjustment level selected from an ADC gain including N second adjustment levels. Multiple image quality evaluation values are obtained, by performing an image quality evaluation on each of the plurality of fingerprint images according to one or more image quality evaluation indexes, and a fingerprint image corresponding to a maximum image quality evaluation value is selected as a target fingerprint image. A terminal is unlocked when the target fingerprint image matches a preset fingerprint image successfully. A terminal is also provided.

Abstract: Systems and methods enable the use of biometric information to access personalized services provided by a service provider, but are not so limited. A disclosed system operates to receive biometric information in the form of fingerprint detection data from a fingerprint detection sensor and use fingerprint mapping parameters to provide personalizations to an associated user. A disclosed method operates to use fingerprint detection data associated with a detection of a user fingerprint by a fingerprint detection sensor and provide personalizations based on the fingerprint detection data.

Abstract: A display control circuit, a display control method and a display device are provided. The display control circuit includes a gesture identifying unit and a display control unit. The gesture identifying unit includes a millimeter wave signal transceiver module and a gesture detector. The millimeter wave signal transceiver module is configured to transmit a first millimeter wave signal and receive a second millimeter wave signal that is reflected back. The gesture detector is configured to process and identify the second millimeter wave signal, to detect a gesture within a predetermined range around the display panel. The display control unit is configured to control the display panel based on the gesture.

Abstract: A method of verifying, by a processing system, whether a user of a device corresponds to a previously authenticated user. The processing system has access to a first image and a second image. The first image is an image of an identity document comprising an image of the previously authenticated user. The second image is an image captured by the device. The method comprises: comparing said first image to said second image, whereby to determine whether they are images of the same user; and, in the event that it is determined that the first and second images are images of the same user: encoding one of the first and second images using a one-way encoding algorithm; and, storing the encoded image as a validated image of the previously authenticated user.

Abstract: A station device in a biometric pre-identification system uses identity to perform one or more actions. Identities are determined (such as via a backend) using biometric information. A biometric pre-identification device obtains biometric information and/or a digital representation thereof from a person approaching the station device. The biometric pre-identification device transmits such to the station device, facilitating the station to begin and/or perform various actions. The station device begins or performs the actions using the identity determined based on the biometric information before the person arrives at the station device.

Abstract: An electronic device and a registration template generating method are provided. The method includes: obtaining first biometric information; determining, by first software, whether the first biometric information passes verification according to the first biometric information and a first registration template; generating, by second software, a pre-enrolled dataset according to the first biometric information if the first biometric information passes verification; generating a second registration template corresponding to the second software according to the pre-enrolled dataset when an amount of data of the pre-enrolled dataset is greater than a threshold; and determining, by the second software, whether second biometric information passes verification according to the second biometric information and the second registration template when the second biometric information is obtained.

Abstract: A face verifying method and apparatus. The face verifying method includes detecting a face region from an input image, generating a synthesized face image by combining image information of the face region and reference image information, based on a determined masking region, extracting one or more face features from the face region and the synthesized face image, performing a verification operation with respect to the one or more face features and predetermined registration information, and indicating whether verification of the input image is successful based on a result of the performed verification operation.

Abstract: Systems and methods securely determine whether a human or a hacking computing device attempts to engage an application. Embodiments of the present disclosure relate to identifying a defined pattern to be displayed by a user interface for an individual to trace. The defined pattern is dynamically displayed so that characteristics associated with the defined pattern change as the defined pattern is displayed. A background is displayed simultaneously with the defined pattern. The background randomly changes as the characteristics associated with the defined pattern change. The likelihood that a hacking computing device can recognize the dynamically changing defined pattern from the dynamically changing background is low while the likelihood that the human brain can do so is high. Thus, user attempting to engage the application is confirmed as a human when a trace of the defined patter is received.

Abstract: Described is a system and method for enabling visual search for information. With each selection of a search term, additional search terms are dynamically selected and presented to the user in conjunction with results matching the currently selected search terms. Likewise, a selected search term may be tokenized and a graphical token presented to the user to represent the selected search term.

Abstract: The present disclosure relates to a method and an apparatus for recognizing an iris. The electronic device may include a camera configured to photograph the iris and a processor configured to perform iris recognition by using the photographed iris image, wherein the processor is further configured to determine a part of the iris image for the iris recognition has failed and re-perform the iris recognition for the determined part of the iris image.

Abstract: Facial recognition method comprises generating an average three-dimensional model from a series of two-dimensional, consecutive, captured video frames and rotating that three-dimensional model to a frontal view. The three-dimensional model may be reduced to a two-dimensional model in order to create a mean reference map. Next, the method includes accessing a facial database to compare the mean reference map to a series of previously-stored reference maps, one for each individual in the database, each of the previously-stored reference maps including a set of previously-stored reference points. Finally, an individual whose previously-stored reference map most closely matches the mean reference map is identified as a match.

Abstract: Robotic devices may be trained by a user guiding the robot along target action trajectory using an input signal. A robotic device may comprise an adaptive controller configured to generate control signal based on one or more of the user guidance, sensory input, performance measure, and/or other information. Training may comprise a plurality of trials, wherein for a given context the user and the robot's controller may collaborate to develop an association between the context and the target action. Upon developing the association, the adaptive controller may be capable of generating the control signal and/or an action indication prior and/or in lieu of user input. The predictive control functionality attained by the controller may enable autonomous operation of robotic devices obviating a need for continuing user guidance.

Abstract: Example embodiments of the present invention include a server for providing screen data to be shared among a plurality of information processing apparatuses. The server receives a first request for obtaining operation screen data from a first information processing apparatus, stores in a memory a communication identifier for identifying a communication between the server and the first information processing apparatus, and transmits to the first information processing apparatus first operation screen data for the first information processing apparatus that includes the communication identifier.

Abstract: Gaze tracking data may be analyzed to determine the onset and duration of a vision interrupting event, such as a blink or saccade. Presentation of images to a viewer may then be suspended during the vision interrupting event and resumed in sufficient time to ensure that the viewer sees the image at the time the vision interrupting event has concluded.

Abstract: According to an aspect, a fingerprint sensor includes a first glass substrate, a second glass substrate, and a plurality of sensor electrodes between the first glass substrate and the second glass substrate. The first glass substrate and the second glass substrate are bonded together by a sealing material with the plurality of sensor electrodes interposed therebetween.

Abstract: A plurality of pairs of video cameras and interrogation devices may be placed in a public place along various paths that a person-of-interest might be expected to move. The person-of-interest is then located in multiple images acquired, collectively, by multiple video cameras. From each of the interrogation devices that are paired with these video cameras, a subset of the captured identifiers is obtained. Candidate identifiers are then restricted to those identifiers that are included in each of the subsets. A given identifier may be rejected as a candidate identifier. To automatically locate the person-of-interest in the images acquired by the “paired” video cameras, a processor may utilize video-tracking techniques to automatically track the person-of-interest, such that the person-of-interest is not “lost.” By virtue of utilizing such tracking techniques, the person-of-interest may be repeatedly located automatically, and with minimal chance of a false detection.

Abstract: System and techniques for spoofing detection in image biometrics are described herein. A sequence of images may be obtained from a camera; a first plurality of images in the sequence of images including a representation of a user body part, and a second plurality of images in the sequence of images including a representation of an environment of the user. A marker may be created for the representation of the body part. A feature of the environment of the user present during the second plurality of images may be identified in the sequence of images using a third group of circuits. A correlation between the marker and the feature of the environment in the sequence of images may be quantified to produce a synchronicity metric of the degree to which the marker and the feature of the environment correlate.

Abstract: A fingerprint identification apparatus and a mobile terminal are disclosed. The fingerprint identification apparatus includes a fingerprint sensor and an optical module electrically connected to the fingerprint sensor. The optical module comprises an optical emitter, an optical circuit module and a photoelectric converter; wherein the optical circuit module is electrically connected to the optical emitter and the photoelectric converter respectively; the optical emitter is configured to emit an optical signal having a specific wavelength; the photoelectric converter is configured to receive the optical signal emitted by the optical emitter and subjected to a touch object, and convert the optical signal into an electric signal; and the optical circuit module is configured to drive and control the optical emitter, and analyze the electric signal.

Abstract: A picked up image displaying unit displays a picked up image on a display unit. A face authentication unit detects a face image of a registered user existing in the picked up image using face identification data retained in a registered user information retaining block. A position designation image processing unit displays a position designation image for designating a position of an object for the detected registered user on the display unit. An object authentication unit detects that an object image is included in the region designated by the position designation image.

Abstract: Granting a validation period. A method includes receiving user input providing one or more authentication factors. The method further includes receiving information about one or more authentication scales. Based on the strength of the authentication factors received from the user and the information about the one or more authentication scales, the method further includes determining a validation period. The method further includes granting or revoking the validation period to the user.

Abstract: An imaging device (pan/tilt camera) includes an imaging unit including an imaging lens and an imaging element, a pan/tilt mechanism that rotates the imaging unit in the horizontal direction and the vertical direction with respect to a camera body, an object detection unit that detects an object, which is a tracking target, from a moving image captured by the imaging unit, a pan/tilt control unit that controls the pan/tilt mechanism such that the object detected by the object detection unit is tracked, a motion sensor that detects a physical amount related to the movement of the camera body, and an operation control unit that stops the pan/tilt mechanism in a case in which the physical amount detected by the motion sensor is equal to or greater than a first threshold value.

Abstract: An example transaction card may include a sensor to measure movement of the transaction card and one or more processors to monitor the movement of the transaction card via the sensor during a tracking period; determine measurements of a gait of a user during the tracking period from the movement of the transaction card during the tracking period; compare the measurements of the gait of the user during the tracking period and a gait signature associated with the transaction card; and/or perform an action associated with the transaction card based on a result of comparing the measurements of the gait of the user during the tracking period and the gait signature.

Abstract: Embodiments of the present application provide a monitoring server, a resolution server, a request device, and a node selection method. The monitoring server in the present application includes a receiver, a processor, and a transmitter. The receiver is configured to receive a selection request message sent by the resolution server; the processor is configured to generate a first source node suggestion table according to the selection request message and a source node selection table; and the transmitter is configured to send the first source node suggestion table to the resolution server, so that the resolution server generates a second source node suggestion table according to the first source node suggestion table and sends the second source node suggestion table to the request device, and the request device selects a source node according to the second source node suggestion table.

Abstract: In an approach to face recognition in an image, one or more computer processors receive an image that includes at least one face and one or more face parts. The one or more computer processors detect the one or more face parts in the image with a face component model. The one or more computer processors cluster the detected one or more face parts with one or more stored images. The one or more computer processors extract, from the clustered images, one or more face descriptors. The one or more computer processors determine a recognition score of the at least one face, based, at least in part, on the extracted one or more face descriptors.

Abstract: Methods, systems, and computer-readable storage mediums for detecting facial liveliness are provided. Implementations include actions of processing first and second facial images of a subject to determine first and second corneal reflections of an object, the first and second facial images being captured at first and second sequential time points, determining a corneal reflection change of the object based on the determined first and second corneal reflections, comparing the determined corneal reflection change of the object to a motion associated with the first and second time points, and determining facial liveliness of the subject based on a result of the comparison.

Abstract: Methods and systems for adjusting a security level of a transaction system based on biometric characteristics of a customer are disclosed. According to an aspect, a method includes interacting with a customer at a transaction terminal. The method also includes determining a biometric characteristic of the customer based on the interaction with the customer. Further, the method may include adjusting a security level of a transaction system based on the biometric characteristic.

Abstract: A system, apparatus, or method is provided for imaging and for capturing visuals to provide image manipulation options for increasing resolution of subject images. A system, apparatus or method for increasing resolution of subject images using a camera to deliver unexposed photographic emulsion or a digital image and to generate images of greater resolution by modifying digital images or modifying digital and emulsion images.

Abstract: Methods and computer systems execute biometric operations in parallel. The performance of a biometric operation includes receiving a job request to perform the biometric operation. The job request includes input data, identifies a database to be used in the performance of the biometric operation, and specifies a function to be performed. The biometric operation is restructured as one or more tasks. A number of entries in the database is assigned to each of the one or more tasks. An independent worker process is generated for each different core of the multi-core processor. Each task of the one or more tasks is assigned to one of the worker processes. Results produced by each worker process assigned one of the one or more tasks are collected. A result of the biometric operation based on the collected results is reported.

Abstract: Particle Thompson Sampling for online matrix factorization recommendation is described. In one or more implementations, a recommendation system provides a recommendation of an item to a user using Thompson Sampling. The recommendation system then receives a rating of the item from the user. Unlike conventional solutions which only update the user latent features, the recommendation system updates both user latent features and item latent features in a matrix factorization model based on the rating of the item. The updating is performed in real time which enables the recommendation system to quickly adapt to the user ratings to provide new recommendations. In one or more implementations, to update the user latent features and the item latent features in the matrix factorization model, the recommendation system utilizes a Rao-Blackwellized particle filter for online matrix factorization.

Abstract: The embodiments of the present invention provide systems and methods for remotely operating a target device. A camera image is obtained, including a target screen image (which is an image of a screen of the target device). The camera image is transmitted to and displayed in a second device. Operational information is obtained on the screen of the second device, which displays the camera image. The operational information is transmitted to a first device. Human device data, which derives from the operational information, is inputted from the first device to the target device.

Abstract: The technology described herein discloses systems and methods for upgrading biometric authentication system. The system can receive first biometric information in connection with an authentication request from a user. The system can authenticate the user via a first authentication system by comparing the first biometric information received in connection with the authentication request with second biometric information. The user can be automatically enrolled into a second authentication system using the first biometric information received in connection with the authentication request.

Abstract: The invention relates to a method performed by a fingerprint sensing system of determining if a finger contacts a fingerprint sensor of the system, and a fingerprint sensing system performing method. In a first aspect of the invention, a method performed by a fingerprint sensing system is provided for determining if a finger contacts a fingerprint sensor of the fingerprint sensing system. The method comprises capturing an image of an object contacting the fingerprint sensor, determining an intensity for a plurality of pixels of the captured image, estimating local curvatures of pixel intensity variation in the captured image, and determining from the estimated local curvatures if local pixel intensity variation is dominated by a single direction, in which case the object on the sensor is considered to constitute a finger.

Abstract: In one embodiment, a method includes receiving multiple images from multiple cameras, where the multiple cameras include a first camera having a first orientation and a second camera having a second orientation, and the multiple images include a first image from the first camera and a second image from the second camera. The method also includes detecting multiple feature points within the first and second images. The method further includes determining one or more pairs of corresponding feature points located within a region of overlap between the first and second images, where the pairs of corresponding feature points include a respective one of the feature points from each of the first and second images. The method also includes spatially adjusting the first or second image based on a calculated offset between each pair of corresponding feature points.

Abstract: A method for generating multiple biometric profiles for a user is disclosed. According to one embodiment, the method may include (1) receiving data from a user, the data comprising biometric data for a user and device specifications for the electronic device; (2) at least one computer processor retrieving at least one existing user profile; (3) the at least one computer processor determining whether the data is consistent with at least one of the existing profiles; and (4) the at least one computer processor updating at least one existing profile if the data is consistent with the existing profile.

Abstract: A user authentication tool continuously authenticates the user of a computing device during an electronic communication session. A trusted user profile includes keypad pressure applied by the trusted user when depressing characters on a virtual keypad displayed on the computing device touch screen. Keypad pressure applied by the current user of the computing device is continually monitored during the current electronic communication session. The monitored keypad pressure applied by the current user is compared to the keypad pressure in the trusted user profile. A confidence score is generated based upon the compared keypad pressures of the current user and the trusted user, the confidence score being indicative of the likelihood that the current user is the trusted user of the computing device. The computing device is automatically required to re-authenticate the current user as the trusted user if the generated confidence score is below a predefined minimum confidence threshold.

Abstract: An identity authentication method and device and a storage medium are disclosed, and the method includes: receiving a CAPTCHA code acquiring request from a user equipment; randomly selecting a CAPTCHA code and a password corresponding thereto as per the request, the CAPTCHA code comprising a first CAPTCHA image formed by a plurality of spliced sub-images, and the password comprising a preset processing rule for the sub-images; sending the CAPTCHA code and password to the user equipment, so that the user equipment rearranges positions of the sub-images to form a second CAPTCHA image and presents the second CAPTCHA image to a user; and receiving, from the user equipment, authentication response information inputted by a user according to the second CAPTCHA image, authenticating an identity of the user according to the authentication response information, and returning an authentication result to the user equipment.

Abstract: Provided, in an aspect, is a method for improving security in an automated teller machine (ATM) network, which includes prompting a user, via the ATM, to provide a biometric sample; receiving the sample from a biometric device of the ATM; determining that the sample is not blacklisted; and allowing the user to complete a transaction. Because the method includes storing anonymized event details, which include the biometric sample separate from user-identifying information, the method both improves privacy for law-abiding users and deters malicious use by others.

Abstract: Embodiments disclosed include computer implemented systems and methods comprising multiple computer programs that when used together as part of the system enable the detection of one set of computer files within another set of files without having direct access to the files themselves. A computer program generated unique fingerprint for each set of files that is a condensed representation of that file that ensures no reverse engineering is possible from its use. Another computer program serves as a public repository to securely store fingerprints from multiple sources (e.g. companies).Additionally, another computer program is used to analyze the two or more file sets and produces a report that shows whether files in one set are contained in the other.

Abstract: A confidential information storing method performed by a computer is disclosed. Multiple sets of biometric information are acquired from a biometric information reader. The multiple sets of the acquired biometric information and specific information for specifying the biometric information to be used to generate a pass phrase are stored in a biometric information storage part. The pass phrase generated based on the biometric information and the specific information are acquired. Confidential information is encrypted by using the acquired pass phrase. The encrypted confidential information is stored.

Abstract: A biometric authentication method includes determining a first similarity between first biometric data and first registration data; determining a second similarity between second biometric data and second registration data; performing authentication based on the first similarity and the second similarity; and updating the first registration data based on the first biometric data in response to the first similarity being greater than an authentication reference value corresponding to the first similarity and the second similarity being greater than an update reference value corresponding to the second similarity.

Abstract: A login access control system is provided. The login access control system includes a camera configured to capture an input image of a subject purported to be a person and attempting to login to a system to access secure data. The login access control system further includes a memory storing a deep learning model configured to perform multi-task learning for a pair of tasks including a liveness detection task and a face recognition task. The login access control system also includes a processor configured to apply the deep learning model to the input image to recognize an identity of the subject in the input image regarding being authorized for access to the secure data and a liveness of the subject. The liveness detection task is configured to evaluate a plurality of different distractor modalities corresponding to different physical spoofing materials to prevent face spoofing for the face recognition task.

Abstract: A method for making an object secure comprises creating a multi-layer graphic signature by superposing, in partial or total transparency, a first random graphic element on a first layer to a second graphic element on a second layer, and storing the graphic signature on or in the object. The method is essentially characterized in that the relative position of the first graphic element and of the second graphic element is random.

Abstract: A facility access control system and corresponding method are provided. The facility access control system includes a camera configured to capture an input image of a subject attempting to enter or exit a restricted facility. The facility access control system further includes a memory storing a deep learning model configured to perform multi-task learning for a pair of tasks including a liveness detection task and a face recognition task. The facility access control system also includes a processor configured to apply the deep learning model to the input image to recognize an identity of the subject in the input image regarding being authorized for access to the facility and a liveness of the subject. The liveness detection task is configured to evaluate a plurality of different distracter modalities corresponding to different physical spoofing materials to prevent face spoofing for the face recognition task.

Abstract: A method and system for managing temporal aspects of accounts and entitlements in target systems in an organization is provided. In an embodiment, an identity management system may receive request to create an account on a target system of the organization. In some embodiments, the identity management system may cause, in co-operation with the target system, the account to be created in the target system, at a first time. In some aspects, the identity management system may associate a second time with the account. In some examples, the second time may correspond to an activation time of the account. In some embodiments, the identity management system may cause in co-operation with the target system, the account to be activated on the target system, at the second time.

Abstract: A system for test administration including a memory, a processor and a biometric reading unit with a program in the memory executing the steps of receiving measurements from the biometric reading unit, the measurements being other than video and audio, identifying suspect behavior from the measurements, displaying a video feed from the testing station in response to the identification of the suspect behavior.

Abstract: A traffic enforcement system and corresponding method are provided. The traffic enforcement system includes a camera configured to capture an input image of one or more subjects in a motor vehicle. The traffic enforcement system further includes a memory storing a deep learning model configured to perform multi-task learning for a pair of tasks including a liveness detection task and a face recognition task on one or more subjects in a motor vehicle depicted in the input image. The traffic enforcement system also includes a processor configured to apply the deep learning model to the input image to recognize an identity the one or more subjects in the motor vehicle and a liveness of the one or more subjects. The liveness detection task is configured to evaluate a plurality of different distractor modalities corresponding to different physical spoofing materials to prevent face spoofing for the face recognition task.

Abstract: A face recognition system and corresponding method are provided. The face recognition system includes a camera configured to capture an input image of a subject purported to be a person. The face recognition system further includes a memory storing a deep learning model configured to perform multi-task learning for a pair of tasks including a liveness detection task and a face recognition task. The face recognition system also includes a processor configured to apply the deep learning model to the input image to recognize an identity of the subject in the input image and a liveness of the subject. The liveness detection task is configured to evaluate a plurality of different distractor modalities corresponding to different physical spoofing materials to prevent face spoofing for the face recognition task.

Abstract: A computer-implemented technique is described for verifying the identity of a user using two components of face analysis. In a first part, the technique determines whether captured face information matches a previously stored structural face signature pertaining to the user. The structural face signature describes, at least in part, gross structural characteristics of the face that are largely invariant from pose to pose. In the second part, the technique determines whether the captured face information matches a dynamic face signature associated with the user. The dynamic face signature describes movement of parts of the face over a span of time as the user performs a gesture, and the correlation of different parts of the face during the movement. The technique reduces the risk that a malicious actor can successfully artificially duplicate the appearance of an authorized user.