Abstract: A contour detection apparatus includes a processor. The processor learns to detect a nail contour being a detection target by setting an initial shape including feature points based on learning data each being image data on a finger including a learning target nail, and setting, as a reference point, a feature point among the feature points corresponding to a reference position, thereby obtaining contour detection information. The processor arranges, in treatment target data being image data on a finger including a treatment target nail, an initial position of the shape such that a point corresponding to the reference position in a contour of the finger including the treatment target nail is superposed on the reference point, and fits the shape to the treatment target nail from the initial position, thereby detecting the nail contour of the treatment target nail.

Abstract: Devices, systems, and methods of detecting user identity, differentiating between users of a computerized service, detecting a possible attacker, and flagging a particular financial transaction or a particular retail transaction as being possibly-fraudulent. The methods include monitoring of user-side input-unit interactions, in general and in response to an interference introduced to user-interface elements. The monitored interactions are analyzed, and enable extraction of hardware-specific features of a computer mouse, a touchpad, a touch-screen, a keyboard, or other input unit. In some methods, detection of different mouse polling rates or different mouse DPI values, across two different usage sessions in the same financial account, enables the method to detect a possibly-fraudulent transaction.

Abstract: A method, system and a computer readable medium for monitoring a person. The method may include (a) acquiring a group of other images and acquiring a group of LWIR of a face of the person. The LWIR imager is mechanically coupled to the other imager has a lower resolution, (b) determining locations of a facial feature of the person within the groups of other and LWIR images, by applying a compensation process for compensating for differences between the acquiring of the group of LWIR images and the acquiring of the group of other images; (c) applying a thermal dynamic analysis on pixels of the facial feature within the LWIR images; and (d) determining, based on an outcome of the thermal dynamic analysis, at least one parameter of the person.

Abstract: A bio-sensor device includes a surface for touching by a body part, such as a finger. A light source, such as an array of LEDs, emit light through the surface so as to be reflected and partially absorbed by the body part An array of photodetectors detects light reflected back by the body part and generates signals corresponding to an image of the light reflection, which corresponds to the light absorption pattern in the body part. The light absorption pattern may correlate to a fingerprint, a blood vessel pattern, blood movement within the blood vessels, or other biometric feature. A processor receives the signals from the photodetectors and analyzes the signals to determine a characteristic of the body part. The characteristic may be used to authenticate the user of the bio-sensor device by comparing the detected characteristic to a stored characteristic.

Abstract: An object detection training method can include receiving a training sample set in a current iteration of an object detection training process over an object detection neural network. The training sample set can include first samples of a first class and second samples of a second class. A first center loss value of each of the first and second samples can be determined. The first center loss value can be a distance between an eigenvector of the respective sample and a center eigenvector of the first or second class which the respective sample belongs to. A second center loss value of the training sample set can be determined according to the first center loss values of the first and second samples. A first target loss value of the current iteration can be determined according to the second center loss value of the training sample set.

Abstract: A method for the recognition of a moving pedestrian by means of a radar sensor system includes the steps of transmitting a primary radar signal into an observation space and of receiving a secondary radar signal reflected by the moving pedestrian. The secondary radar signal is processed, wherein the processing of the secondary radar signal includes the steps of generating a Micro-Doppler spectro-gram of the secondary radar signal, determining, based on the Micro-Doppler spectrogram, an observed bulk speed of the moving pedestrian, determining, based on the Micro-Doppler spectrogram, at least one gait cycle parameter of the moving pedestrian and determining, based on the determined observed bulk speed and the determined gait cycle parameter, an illumination angle between a moving direction of the moving pedestrian and the line of sight.

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: A finger vein recognition system includes an IR camera, a handle with a sensor and a IR LED array, and a microprocessor for controlling the LED array and processing image signals received from the camera. The luminescence of each LED in the LED array can be changed based on the position of a user's fingers and the environment, which improves the quality of images captured by the IR camera. The sensor detects the proximity of a user and activates the system.

Abstract: A system for implementing visitor customizations at a facility using selective image recognition. The system includes a processor and memory storing an optical marker definition and, for potential visitors to the facility, a reference file for image-based recognition of a person. The system includes a camera in a space of the facility capturing an image of the space. The system includes an opt-in verification module run by the processor that processes the captured image of the space to identify, based on the optical marker definition, presence of an optical marker. The system includes an image recognition module run by the processor that compares recognizable features in the captured image with the reference files for the potential visitors to recognize the visitor. The memory stores opt-in records for the potential visitors, and permission to use recognition technology is obtained prior to processing by the image recognition module.

Abstract: Cameras capture time-stamped images of predefined areas (zones) and assets (objects). Behaviors and actions of persons are tracked in the images with respect to the zones and the objects based on rules. Persons are identified when the behaviors or actions indicate that the persons are attempting to access a particular zone or a particular object. Multifactor authentication is performed on the persons based on the rules and access to the particular zone or the particular object is granted or denied. All access attempts along with the corresponding images associated with the access attempts are logged for auditing.

Abstract: A method for estimating body orientation includes: executing extraction processing for extracting a person region from images; executing an identification processing for identifying a left site and a right site in the person region; executing calculation processing for calculating a left moving amount and a right moving amount; and executing estimation processing for estimating body orientation in the person region based on a first difference and relation information, the first difference being a difference between the left moving amount and the right moving amount, the relation information including first and second relation information, the first relation information indicating a relationship between the first difference and a change amount when the left moving amount is larger than the right moving amount, and the second relation information indicating a relationship between the first difference and the change amount when the right moving amount is larger than the left moving amount.

Abstract: The present invention provides a touch pen including a writing pressure detector that detects a writing pressure generated by a nib contacting an input surface of a touch panel, a sound producer that produces a pseudo sound of a first touch, based on the writing pressure detected by the writing pressure detector, and a sound outputter that outputs the pseudo sound produced by the sound producer.

Abstract: A method of website optimization including collecting data for constructing user profiles; constructing the user profiles; quantifying affinities between the user profiles; constructing a user network in which the affinities are represented as links between user nodes; constructing an adjacency matrix; calculating a first principal eigenvector of the adjacency matrix; defining a new network by removing a random link in the network and calculating a new adjacency matrix for the new network; calculating a second principal eigenvector of the new adjacency matrix; calculating a vector of relative shifts between the first principal eigenvector and the second principal eigenvector; for every node, assigning a value for a direction of its shift between the network and the new network; and repeating certain of the steps.

Abstract: This document describes an improved method for identifying of characteristic points of a calibration pattern within a set of candidate points in an image of the calibration pattern. The method includes scaling a template arrangement of template points that corresponds to the calibration pattern to an initial size. The method uses the scaled template arrangement to determine potential characteristic points. The method then determines whether the potential characteristic points meet a termination criterion. If the termination criterion is not met, the scaling of the template arrangement is modified and the previous step and this step are repeated. If the termination criterion is met, the potential characteristic points are identified as the characteristic points. In this way, the described method provides a robust means to automatically identify the characteristic points in the image of the calibration pattern without having to determine the distance between a camera and the calibration pattern.

Abstract: A system for using artificial intelligence to select a recommended compatible element. The system includes at least a server, wherein the at least a server is designed and configured to receive training data. The at least a server is configured to receive from a user at least a biological extraction and at least a user activity datum. The at least a server is configured to retrieve from a fingerprint database at least a datum of user fingerprint information. The at least a server is configured to classify the at least a user activity datum as a function of the at least a datum of user fingerprint information. The at least a server is configured to select at least a compatible element as a function of the at least a user activity datum and the training data. The at least a server is configured to transmit the at least a compatible element to a user client device.

Abstract: A biometric authentication apparatus includes an imaging device, a display device, a memory, and a processor configured to display, on a screen of the display device, a guidance indicating a target area to be in contact with a part of a human body, detect whether the part of the human body is in contact with the target area, when the part of the human body is in contact with the target area, determine a distance between the imaging device and another part of the human body in accordance with an image captured by the imaging device, the image including the other part of the human body, and perform a change of a display position of the guidance in accordance with the determined distance.

Abstract: A system and method for verifying proper possession of a medication is disclosed. A reader device scans a code printed on the medication to extract an embedded serial number and captures an image of the face of the person in possession of the medication. A first server queries a prescription database, which retrieves facial characteristic data associated with the embedded serial number. A determination is made if the retrieved facial characteristic data matches facial characteristic data extracted from the captured image. The match information is displayed on the reader device.

Abstract: There are described methods and systems for facilitating identification of an object-of-interest. A face similarity score and a body similarity score of a query image relative to a gallery image are determined. A fused similarity score of the query image relative to the gallery image is determined by applying a relationship between the face similarity score, the body similarity score, and the fused similarity score. The fused similarity score is indicative of whether or not the object-of-interest and the potential object-of-interest are the same object-of-interest. For example, a machine learning process is used to fuse the face similarity score and the body similarity into the fused similarity score. The process is repeated for multiple gallery images. The gallery images may then be ranked according to their respective fused similarity scores.

Abstract: A 2D image generation unit 13 that generates 2D image data according to a predetermined 2D conversion algorithm from 3D data, and an evaluation value calculation unit 14 that calculates an evaluation value representing similarity between the generated 2D image data and captured image data used as a correct image are included. By the 2D image generation unit 13 repeatedly executing generation of 2D image data from 3D data and learning the 2D conversion algorithm to optimize the evaluation value calculated each time for 2D image data using highly accurate captured image data as a correct image, it is possible to generate a highly accurate 2D image from a 3D model even when 3D data of a highly accurate 3D model is not used.

Abstract: A system and method for a hybrid multimode input device includes a multimode input device capable of a two-dimensional (2D) mode of operation and a three-dimensional (3D) mode of operation. The device includes a two-dimensional (2D) position sensor, a three-dimensional (3D) position sensor, and a processor. The processor is configured to enter a 3D input mode when the processor detects that the input device is in a first orientation, and enter a 2D input mode when the processor detects that the input device is in a second orientation. The 2D input mode is configured to provide 2D position data to a connected computer system, and wherein the 3D input mode is configured to provide 3D position data to the connected computer system.

Abstract: Cameras capture time-stamped images of predefined areas. The predefined areas are assigned to one or more zones. The images are processed to recognize items and persons within the zones. Custom metrics with respect to each zone relative to at least time durations, items, and persons are logged in a data store. An interface is provided to custom define queries that are processed against the data store. In an embodiment, the data store is mined to discover relationships between the metrics for each zone, and real-time actions are processed when predefined conditions are discovered from the metrics.

Abstract: Unauthorized use of a secured device can be prevented using customized hardware that only permits operation of the secured device while an enable signal is being generated, and prevents its operation at all other times. The enable signal is only generated when variations in incoming ultrasound waves indicate that a specific ultrasound activation signal has arrived. This ultrasound activation signal is generated by an activation unit that is acoustically coupled into an ultrasound conductive body (e.g., a person's body). Because the ultrasound activation signal cannot cross air gaps, the ultrasound activation signal will only be able to reach its destination when both the activation unit and the secured device maintain acoustic contact with the ultrasound conductive body. In addition, the signal that is actually received by the secured device must be the same specific ultrasound activation signal that the secured device is expecting to receive.

Abstract: Shape-matrix geometric instruments having numerous applications including, but not limited to, anti-counterfeiting, graphical passwording, games, and geometry education. A shape-matrix geometric instrument is a manufacture and/or a method whose design is based on a shape-matrix that, in turn comprises a set of building blocks that are N-dimensional polytopes. Corner shapes are positioned in or near the interior corner spaces of at least ones of the shape-matrix building blocks. At least ones of the corner shapes differ from others in at least one property or aspect including, for example, geometric shape, orientation within the building block, and one or more surface “finishes,” such as color, shading, cross-hatching or real or apparent texture.

Abstract: The present disclosure describes a computer-implemented platform for managing electronic endorsable instruments and electronic endorser verification information in order to validate endorser identity. A computer system receives an endorsable electronic instrument and a mobile phone number associated with a targeted potential endorser. The endorsable electronic instrument and a verification information request are sent to the mobile phone number by sending a link to an endorsement application via a message to the mobile phone number. The endorsed electronic instrument and corresponding verification information are received and are associated to validate the endorsed instrument.

Abstract: The invention relates to a method for generating a cryptographic key for applying an access control method to a resource of a server (20) by a client-terminal (10), the method comprising the following steps: (E1) receiving a test biometric datum (DBtest), (E2) applying a decoding method to the test biometric datum (DBtest) and of a reference datum (Dref) for obtaining a cryptographic key (K?) such that: if the test biometric datum (DBtest) corresponds to the reference biometric datum (DBref), the cryptographic key generated (K?) is the legitimate cryptographic authentication key (Kl), otherwise, the generated cryptographic key (K?) is an illegitimate cryptographic authentication key (Ki) not allowing authentication of the client-terminal (10) at the server (20) during an access control, and (E3) using the generated key for applying an access control method (F3) to a resource of the server (20) by the client-terminal (10).

Abstract: Technologies are provided for remotely destroying a storage device. One or more commands can be transmitted to a storage device to render the storage device inoperable. The storage device can be placed in a retired operation mode, in which the storage device cannot process data access commands. Data stored in the storage device can be sanitized to prevent it from being retrieved. Code modules that are responsible for processing data access commands can be erased from a firmware of the storage device. The storage device can perform operations to render a storage medium of the storage device inoperable. While in the retired mode, the storage device can process an inquiry command to retrieve information about the storage device from the firmware of the storage device. The retrieved information can be used to generate a digital destruction certificate that can be provided to a supplier of the storage device.

Abstract: A merchant computer generates a token including a “pay-me” merchant account identifier and transaction data for a transaction conducted by a consumer. The merchant token can be obtained by a mobile communication device and transmitted to a payment processing network along with a device identifier for the mobile communication device and an authentication token provided by the consumer. The payment processing network can authenticate the device using the authentication token, retrieve a consumer account number based on the device identifier, and complete the transaction by pushing money into the merchant “pay-me” account from the consumer account.

Abstract: An electronic device and method are disclosed herein. The electronic device includes a display, a biometric sensor, and at least one processor. The processor implements the method, including: when a touch input is detected to the display within the biometric sensing area, increase a brightness of a first pixel group within the biometric sensing area to a first brightness level, and execute at least one of maintaining and changing display of a second pixel group outside the biometric sensing area and, wherein the at least one of maintaining and changing display of the second pixel group includes one of: executing a black state in which display through the second pixel group is disabled, and changing a display attribute for the second pixel group such that a load on the second pixel group is reduced.

Abstract: Provided are a biometric image processing method and an apparatus including the same. The biometric image processing method includes acquiring a biometric image from a biometric sensor, evaluating image quality of the biometric image by calculating an evaluation score with respect to each of a plurality of evaluation items corresponding to the biometric image, determining at least one of an improvement algorithm corresponding to an evaluation result and a weight of the improvement algorithm by using an image quality improvement table including an improvement degree of image quality, and correcting the biometric image according to the at least one of the improvement algorithm and determined weight of the improvement algorithm.

Abstract: An electronic device and a method for human segmentation in an image are provided. The method includes obtaining the image comprising at least one human, performing face detection to detect the human in the image, generating a first human segmentation from the image by comparing a pre-defined full human body template and the detected human, generating a second human segmentation from the image, by inputting the image to an artificial intelligence trained model and obtaining a composite human segmentation representing the detected human by using both of the first human segmentation and the second human segmentation.

Abstract: The invention proposes an instantaneous search and comparison method for large-scale distributed palm vein micro-feature data, which consists of three parts: 1) feature extraction and calculation of palm vein micro-feature images; 2) building a feature database; 3) search and comparison. The technical solution provided by this invention, referring to the idea of GIS and web search method, is applied to the search and comparison of the palm vein micro-feature data, which enables instantaneous recognition on massive palm vein micro-feature data under large-scale, large-traffic and high-frequency application scenarios, and solves the technical problem that traditional palm vein recognition methods can not be applied to large-scale and large-traffic scenarios due to low speed thereof.

Abstract: A method for identification of characteristic points of a calibration pattern within an image includes: (i) overlaying a template arrangement of template points over the candidate point such that a principal point of the template points coincides with the candidate point, wherein the template arrangement corresponds to the calibration pattern or to a sub-pattern of the calibration pattern, (ii) for each template point of the template arrangement, except the principal point, identifying from the set of candidate points the candidate point closest to the template point, and (iii) determining a degree of deviation by summing the distances between each template point of the template arrangement, except the principal point, and the candidate point closest to this template point; and identifying as characteristic points of the calibration pattern all those candidate points of the set of candidate points with a degree of deviation below a deviation threshold.

Abstract: A body part point detection module detects multiple first body part points associated with a first person image contained in a first image and multiple second body part points associated with second person images contained in a second image. An identicality determination module calculates color differences between the color information of the pixels corresponding to the multiple first body part points of the first person image and the respective color information of the pixels corresponding to the multiple second body part points of the second person images, and uses the calculated color differences to calculate the degree of color similarity between the first person image and second person image and the degree of color similarity between the first person image and second person image. The identicality determination module uses the calculated degrees of color similarity to determine identicality between the first person image and second person images.

Abstract: Biometric identification methods and apparatuses (including devices and systems) for uniquely identifying one an individual based on wearable garments including a plurality of sensors, including but not limited to sensors having multiple sensing modalities (e.g., movement, respiratory movements, heart rate, ECG, EEG, etc.).

Abstract: Disclosed is an electronic apparatus including a first camera, a second camera, and a processor. The first camera includes a first FOV. The second camera includes a second FOV corresponding to part of the first FOV. The processor is configured to obtain a request associated with biometric authentication. The processor is configured obtain at least one first image using the first camera and at least one second image using the second camera. The processor is configured to identify a first external object that is included in the at least first image while obtaining the first image. While obtaining the at least one second image, the processor is configured to provide notification information for obtaining at least one image including the second external object when the second external object that is at least part of the first external object, is not included in the at least second image.

Abstract: A control server associated with a retail store places or assigns people that are determined to be socially interrelated into corresponding groups. When a group member becomes separated from the group, an image of that person is analyzed and used to identify his/her group. Once identified, the control server generates a notification indicating the current locations in the retail store of both the group and the person who became separated, and indicates a route the person can take through the store to reunite with the group.

Abstract: A method for biometrically recognizing individuals, comprising the following steps: performing at least two biometric recognitions based on separate sets of biometric characteristics detected on an individual during at least one first and one second detection operations; detecting a third set of biometric characteristics during the first detection and a fourth set of biometric characteristics during the second detection; verifying that the third set of biometric characteristics matches the fourth set of biometric characteristics. A corresponding enrolment method and a device to implement these methods.

Abstract: An object recognition method and system thereof are provided. A recognition result of a first object of a (i?1)th frame of a video stream is obtained. A ith frame is received, and a second object is detected from the ith frame. Whether the first object and the second object are corresponding to the same target object is determined according to a position of the first object in the (i?1)th frame and a position of the second object in the ith frame. If the first object and the second object are corresponding to the same target object, whether a recognition confidence level is greater than a predetermined threshold is determined so as to perform the object recognition on the second object or assign the recognition result of the first object to the second object.

Abstract: A personal authentication device includes: acoustic signal transmission means 701 for transmitting a first acoustic signal to a part of a head of a user; acoustic signal observation means 702 for observing a second acoustic signal which is an acoustic signal after the first acoustic signal propagates through the part of the head; acoustic property calculation means 703 for calculating an acoustic property from the first acoustic signal and the second acoustic signal; and user identification means 704 for identifying the user, based on the acoustic property or a feature value extracted from the acoustic property and relating to the user.

Abstract: A method and an apparatus for recognizing an object are disclosed. The apparatus may extract a plurality of features from an input image using a single recognition model and recognize an object in the input image based on the extracted features. The single recognition model may include at least one compression layer configured to compress input information and at least one decompression layer configured to decompress the compressed information to determine the features.

Abstract: Apparatuses and methods associated with personal history in a track and trace system are disclosed herein. In embodiments, a method includes acquiring first information corresponding to a physical object; identifying first authentication data based on the first information; storing the first authentication data in a database system; subsequent to storing the first authentication data, acquiring second information corresponding to a target physical object and identifying second authentication data based on the second information; identifying third information corresponding to the target physical object; querying the database system to seek a matching record based on the second authentication data; in the case that a matching record is returned responsive to the querying, updating the matching record with an indication that the second authentication data was matched to it and updating history data of said matching record based on said third information. Other embodiments may be disclosed or claimed.

Abstract: An information processing apparatus includes a detecting unit, an extracting unit, a managing unit, and a deriving unit. The detecting unit detects an object from an image. The extracting unit extracts a feature amount of the object detected by the detecting unit. The managing unit manages an element in the object detected by the detecting unit in association with the feature amount of the object in the element. The deriving unit derives a reliability indicative of a certainty for identifying an object with respect to the feature amount of the element.

Abstract: Methods, systems, and devices for determining a subset of user devices (115, 120) from among a complete set of user devices (110, 115, 120) based on a set of received information, i.e., attributes (513, 516) associated with a photograph (514) or user device (110) that transmitted the photograph (514) and attributes (513, 516), where the disposition of the information may be used to determine the subset and then perform facial recognition (265) on the subset of user associated photographs in order to accurately identify each user or users present in the photograph (514).

Abstract: The present invention provides an authentication which is performed by means of simultaneously inputting biometric data such as fingerprint, iris and the like when inputting an authentication number, wherein input area provided to a user varies such that biometric data can be input and recognized accurately and easily. Therefore, the present invention enhances convenience for a user and increases security and reliability of authentication.

Abstract: One embodiment provides a method, including: accessing, on a mobile end user device, a media file; processing, using a processor of the mobile end user device, the media file to characterize the media file; detecting, using the processor, at least one privacy-sensitive characteristic of the media file; and setting an indicator, using the processor, denoting the media file as privacy-sensitive prior to permitting the media file to be stored on a cloud account device. Other embodiments are described and claimed.

Abstract: One embodiment described herein can provide a system for enabling a service over a computer network. During operation, the system receives, from a first client device, an object-distribution request. In response to the request, the system generates an object package containing a number of objects based on the request and obtains at least one challenge associated with the object package and a predetermined response corresponding to the challenge. The system then presents the challenge to a user of a second client device and receives a response to the challenge from the second client device. In response to the received response to the challenge meeting one or more of predetermined criteria, the system causes the object package to be distributed to the second client device over the computer network.

Abstract: A method comprises receiving, by a computing system, a secret knowledge factor, and a biometric sample from a signing party. The biometric sample comprises at least one of an approval sample and an intent sample. The computing system generates an encryption key using the secret knowledge factor as an input to a password authenticated key exchange protocol, and encrypts the biometric sample with the encryption key. The computing system generates a biometric electronic signature agreement and intent (“BESAI”) token including the encrypted biometric sample, and a signing party identifier in clear text associated therewith. The BESAI token can be verified using a decryption key generated using a stored knowledge factor as an input to the password authenticated key exchange protocol, and the approval of terms of and confirmation of intent to sign the electronic agreement by the signing party can be verified after decrypting the biometric sample.

Abstract: The image processing apparatus includes: an input unit configured to receive input of a plurality of images; an alignment unit configured to select each of the plurality of images one by one as a base image, and aligns the base image and each of comparison images; a selection unit configured to select the comparison image to be combined with the base image from among the comparison images aligned with the base image for each of the base images, calculate a common region in which images included in the combination can be commonly drawn, and select the combination in which the ratio of the common region to the base image satisfies a predetermined condition; a determination unit configured to determine the combination that maximizes the number of comparison images from the selected combination; and an output unit configured to output an image group corresponding to the determined combination.

Abstract: A computer-implemented method for image processing, the method includes: acquiring an image of a body part captured by an imaging circuit; and determining, in a case where there is a region where luminance is saturated in the acquired image, a cause of the saturation of the luminance based on a distribution of the luminance in the acquired image. The cause is either the distance between the imaging circuit and the body part being shorter than a predetermined distance or an influence of external light.

Abstract: Techniques are disclosed for systems and methods to provide identity verification for protected services. An identity verification system includes an authenticator device configured to provide a visible spectrum optical sequence including an authentication identifier to an authentication station. The authentication station includes an optical sensor configured to capture a time sequence of visible spectrum image data associated with a validated user, and a logic device configured to receive a visible spectrum optical sequence from the optical sensor, verify the authentication identifier, and execute a protected process associated with the verified authentication identifier. The authenticator device includes an optical transmitter and a logic device configured determine a visible spectrum optical sequence comprising the authentication identifier and to generate the visible spectrum optical sequence using the optical transmitter.