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 apparatus may include an ultrasonic sensor system, a platen, a set of bioimpedance electrodes proximate the platen and a control system configured for communication with the ultrasonic sensor system and the set of bioimpedance electrodes. The control system may be further configured for controlling the ultrasonic sensor system to transmit ultrasonic waves, receiving ultrasonic sensor signals from the ultrasonic sensor system corresponding to ultrasonic waves reflected from a portion of a body in contact with the platen, receiving bioimpedance measurements from the set of bioimpedance electrodes and estimating a status of one or more biometric indicators of the portion of the body based on the ultrasonic sensor signals and the bioimpedance measurements.

Abstract: Methods, systems, and apparatus for obtaining first image features derived from an image of an object, providing the first image features to a three-dimensional estimator neural network, and obtaining, from the three-dimensional estimator neural network, data specifying an estimated three-dimensional shape and texture based on the first image features. The estimated three-dimensional shape and texture are provided to a three-dimensional rendering engine, and a plurality of three-dimensional views of the object are generated by the three-dimensional rendering engine based on the estimated three-dimensional shape and texture. The plurality of three-dimensional views are provided to the object recognition engine, and second image features derived from the plurality of three-dimensional views are obtained from the object recognition engine. A loss is computed based at least on the first and second image features, and the three-dimensional estimator neural network is trained based at least on the computed loss.

Abstract: Techniques are described for performing estimations based on image analysis. In some implementations, one or more images may be received of at least portion(s) of a physical object, such as a vehicle. The image(s) may show damage that has occurred to the portion(s) of the physical object, such as damage caused by an accident. The image(s) may be transmitted to an estimation engine that performs pre-processing operation(s) on the image(s), such as operation(s) to excerpt one or more portion(s) of the image(s) for subsequent analysis. The image(s), and/or the pre-processed image(s), may be provided to an image analysis service, which may analyze the image(s) and return component state information that describes a state (e.g., damage extent) of the portion(s) of the physical object shown in the image(s). Based on the component state information, the estimation engine may determine a cost estimate to repair and/or replace damaged component(s).

Abstract: In an image processing system a processor is configured to perform an image processing method. The method performs receiving a spectral image of a person's skin and identifying the person based on the received spectral image of the person's skin and skin reflectance information.

Abstract: The present disclosure relates to systems, devices and methods for image presentation for vehicle driver assistance. In one embodiment, a method includes receiving image data representing an outside of a vehicle and enhancing the image data. Image enhancement can include inverting the image data, running a dehazing operation based on scene radiance, medium transmission and atmospheric light of the image data. The method may also include generating reconstructed image data from the enhanced image data by performing a sparse representation of the enhanced image data for denoising of the enhanced image data, and performing a learning operation to identify and enhance objects of interest in the enhanced image data with the sparse representation. The method also includes outputting the reconstructed image data to a display unit of the vehicle. Vehicle driver assist systems and devices are provided to enhance image data detected by vehicle cameras and wearable devices.

Abstract: An operating method for handheld device is provided. The method includes following steps: detecting whether a user is holding a handheld device; control the handheld device to execute a privacy non-preserving procedure when detecting that the user is holding the handheld device; detecting whether the user stops holding the handheld device; control the handheld device to execute a privacy-preserving procedure when detecting that the user stops holding the handheld device.

Abstract: A mechanism is described for facilitating recognition, reidentification, and security in machine learning at autonomous machines. A method of embodiments, as described herein, includes facilitating a camera to detect one or more objects within a physical vicinity, the one or more objects including a person, and the physical vicinity including a house, where detecting includes capturing one or more images of one or more portions of a body of the person. The method may further include extracting body features based on the one or more portions of the body, comparing the extracted body features with feature vectors stored at a database, and building a classification model based on the extracted body features over a period of time to facilitate recognition or reidentification of the person independent of facial recognition of the person.

Abstract: A biometric identification method includes the steps of comparing a candidate print with a reference print and of validating the identification according to a certain number of characteristics common to both prints and a predetermined validation threshold. The method includes the steps of creating at least one deceiving print and comparing same with a candidate print. An identification device designed for implementing this method is also provided.

Abstract: Disclosed in embodiments of the present disclosure are a surface texture information collector, a surface texture information collection method, and a display device. The surface texture information collector includes: a contact board provided with a first surface, the first surface being configured to be in contact with a textured surface; multiple collection units, located on one side of the contact board opposite to the first surface, at least one collection unit including a photosensitive element; and a light concentration element, located between the photosensitive element and the contact board; light entering and transmitted through the contact board and the light concentration reaches the photosensitive element opposite to the light converging component.

Abstract: Method and an imaging and processing circuit for identifying a certain pixel as a local extreme point. The imaging and processing circuit generates, in a certain sensing element associated with said certain pixel and in two or more of its closest neighboring sensing elements, sensed signal levels, respectively, based on sensed light during an exposure to light. It provides, based on comparisons between said sensed signal levels and at least two different threshold levels, binarized image data of said certain sensing element and said two or more of its closest neighboring sensing elements. The imaging and processing circuit then identifies, by means of a computing element configured to operate on the provided binarized image data, said certain pixel as the local extreme point based on that the provided binarized image data of said certain sensing element differ from the provided binarized image data of said two or more of its closest neighboring sensing elements.

Abstract: A method for controlling an electronic device is provided. The method includes obtaining an image, detecting at least one object in a facial area from the image, and applying a virtual light source effect to the image based on an attribute of the detected object and displaying the image.

Abstract: A device and method, the purpose of which is to secure digital fingerprint reading by sequential optical captures with optimization of the exposures to light. At least one of the illumination and detection parameters is adjusted as a function of the acquisition conditions (physiological condition of the epidermis, exposure to ambient light) owing to the means of control.

Abstract: A fingerprint matching system for fingerprint matching using virtual minutiae includes a fingerprint scanning device, including (i) an interface to a fingerprint scanner, and (ii) a sensor associated with the fingerprint scanner, configured to identify a match between a search fingerprint representing a fingerprint of a subject and a reference fingerprint from among a plurality of reference fingerprints representing fingerprints of a plurality of historical subjects; a database containing the plurality of reference fingerprints representing fingerprints of the plurality of historical subjects; and a computing device in communication with said database and said fingerprint scanning device.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving a video feed of a scene. Selecting a first portion of the video feed and a second portion of the video feed based on a probability of an object being present in the first portion of the video feed compared to a probability of the object being present in the second portion of the video feed. Processing a first portion of the video feed using a first detection algorithm to detect the object in the first portion of the video feed. Processing a second portion of the video feed using a second detection algorithm to detect the object in the second portion of the video feet, where the first detection algorithm is different from the second detection algorithm.

Abstract: This specification discloses a user identity verification method, apparatus, and system, relating to the field of information technology. The method comprises: receiving a facial image and one or more eye-print pair images corresponding to an identity verification object from a client, wherein a number of the one or more eye-print pair images corresponds to a number of eye-print collection steps, comparing the facial image to a preset facial image and comparing the one or more eye-print pair images to preset eye-print templates, and sending successful identity verification information to a client when comparison results for the facial image and the one or more eye-print pair images meet preset conditions.

Abstract: Methods and apparatuses for authenticating communication devices and securely transmitting and/or receiving encrypted voice and data information. A biometric scanner, for example a fingerprint scanner, is utilized for authenticating the communication device and for generating the encryption key. The fingerprint scanner can be an area or swipe type of scanner is registered to a particular user and has unique intrinsic characteristics (the scanner pattern) that are permanent over time and can identify the scanner even among scanners of the same manufacturer and model. The unique scanner pattern of the scanner generates a unique encryption key that cannot be reproduced using another fingerprint scanner.

Abstract: Methods and apparatus are provided for evaluating the classification performance of different risk engine models. A classification performance of an authentication method is evaluated by obtaining performance data for an authentication method; generating a receiver operating characteristic (ROC) curve for the obtained performance data; determining a partial area under the curve (pAUC) for a region of interest of the ROC curve; and providing a performance score for the authentication method based on the pAUC. The region of interest comprises, for example, a region of false positives. The pAUC is optionally standardized using a McClish Transformation. The performance score for the authentication method can be compared to a second performance score for a second authentication method. A confidence level can optionally be provided for the comparison based on a natural test statistic.

Abstract: Techniques are provided for determining two or more user-specific parameters that can be measured or obtained using various methods, and using values of the two or more user-specific parameters to uniquely identify or authenticate an individual. Examples of the user-specific parameters may include biometric parameters, textual-based parameters, a combination of biometric parameters and textual-based parameters, and the like.

Abstract: Methods, systems and apparatuses, including computer program products, are described for detecting a proximity of a mobile computing device during a user session. The mobile computing device enters a first operational mode during the user session and obtains sensor data from at least one sensor responsive to a property of the location. The mobile computing device forwards to a server computing device, a baseline profile including the sensor data and a time stamp indicating a time the sensor data was obtained. The mobile computing device receives from the server computing device, a differential trigger threshold including a range of permissible values for sensor data obtained from the at least one sensor. The mobile computing device obtains updated sensor data from the at least one sensor. The mobile computing device enters a second operational mode when the updated sensor data is outside of the differential trigger threshold.

Abstract: A method of generating a biometric electronic signature authenticated key exchange (“BESAKE”) token. The method begins when a biometric sample captured from a signing party is received. A secret knowledge factor is received. An encryption key is generated using the secret knowledge factor as an input to a password authenticated key exchange protocol. The biometric sample is encrypted with the encryption key. The BESAKE token is generated and includes the encrypted biometric sample and a signing party identifier associated with the secret knowledge factor. The BESAKE token can be verified using a decryption key generated using a stored knowledge factor as an input to the password authenticated key exchange protocol. The secret knowledge factor is retrieved based on the signing party identifier. The identity of the signing party can be authenticated by decrypting the biometric sample from the BESAKE token using the decryption key and matching the decrypted biometric sample.

Abstract: A system and method are provided for capturing and/or selecting media content using a client source device, uploading the media content to a proprietary server, generating an identification tag corresponding to the uploaded media content, printing a physical depiction of the identification tag, scanning the physical depiction of the identification tag using a client destination device in furtherance of accessing the uploaded content, determining the content corresponding to the scanned identification tag, retrieving the content from the proprietary server, formatting the content for presentation to a specific user and/or for a specific client destination device, and presenting the content on the client destination device.

Abstract: Method and apparatus for processing a biometric measurement signal using a computing device, including receiving a biometric measurement signal generated by contact with a single individual, extracting at least one periodic fragment from the biometric measurement signal, generating first feature data at least partially based on the at least one extracted periodic fragment, determining second feature data from the first feature data by removing data from the first feature data using robust principal component analysis, determining whether a match exists between the second feature data and defined biometric data associated with a known individual by processing the second feature data and the defined biometric data using a machine learning technique, and in response to determining a match exists between the second feature data and the defined biometric data, transmitting a signal indicating that the single individual is the known individual.

Abstract: Techniques are provided for determining two or more user-specific parameters that can be measured or obtained using various methods, and using values of the two or more user-specific parameters to uniquely identify or authenticate an individual. Examples of the user-specific parameters may include biometric parameters, textual-based parameters, a combination of biometric parameters and textual-based parameters, and the like.

Abstract: A method of verifying an identity of a user using a set of earpieces includes communicating a first sound toward a tympanic membrane of the left ear, communicating a second sound toward a tympanic membrane of the right ear, receiving reflected sounds from an ear canal of the left ear, receiving reflected sounds from an ear canal of the right ear, comparing acoustic properties of the reflected sounds with acoustic properties stored in a memory device, and verifying the identity of the user if the acoustic properties of the reflected sounds match the stored acoustic properties.

Abstract: In an automated method of processing fingerprint images, identity information is extracted from prints typically classified as having “no identification value” because of sparse or missing minutiae by capturing ridge information. Bezier approximations of ridge curvature are used as Ridge Specific Markers. Control points arising from Bezier curves generate unique polygons that represent the actual curve in the fingerprint. These polygons are generated for latent prints and reference prints and compared to determine whether a match exists.

Abstract: A photography system includes a remote server to store a database of geofence regions within a geographical area, and themed photograph overlays, with at least one themed photograph overlay corresponding to each respective geofence region within the database. A portable electronic device (PED) includes a processor to execute a creative artworks picture application, a geographic position determining to determine a geographic location of the PED, and a transceiver. The transceiver is configured to transmit the geographic location of the PED to the remote server, and receive the themed photograph overlay from the remote server when the geographic location of the PED is within one of the respective geofence regions. A camera takes a photograph within the geofence region the PED is located in, and a display displays the photograph with the at least one themed photograph overlay.

Abstract: A surface texture identification display device including a base substrate (10) and a contact plate overlapped with each other, the contact plate having a first surface configured to contact a textured surface, the first surface being located on a side of the contact plate facing away from the base substrate; and a plurality of pixel units located between the base substrate and the contact plate, wherein at least one of the pixel units includes a light sensing component on the base substrate, a light converging component located between light sensing component and the contact plate; a light shielding component located between light converging component and the light sensing component; wherein the light shielding component has a light transmission hole so that light passing through the contact plate and the light converging component passes through the light transmission hole to arrive at the light sensing component.

Abstract: The system for image analysis that analyzes an image taken by a camera improves the accuracy of detection and identification in image analysis. The system memorizes a plurality of imaging environment data sets that include setting data of a camera and data on an object; includes a detection module 211 that detects an imaging environment from the camera, a check module 212 that checks the imaging environment, and an extraction module 213 that extracts an imaging environment data set similar to the detected imaging environment; and applies the extracted imaging environment data set and analyzes an image.

Abstract: In real biometric systems, false match rates and false non-match rates of 0% do not exist. There is always some probability that a purported match is false, and that a genuine match is not identified. The performance of biometric systems is often expressed in part in terms of their false match rate and false non-match rate, with the equal error rate being when the two are equal. There is a tradeoff between the FMR and FNMR in biometric systems which can be adjusted by changing a matching threshold. This matching threshold can be automatically, dynamically and/or user adjusted so that a biometric system of interest can achieve a desired FMR and FNMR.

Abstract: A device, system, and method to provide access to a storage device based on biometric verification. A computing device includes a wireless transceiver configured to communicate wirelessly with a data network, a user interface configured to receive a user input to access data from a storage device in communication with the data network, and a biometric characteristic reader configured to receive user characteristic data to verify a user's identity. The computing device is configured to access the data from the storage device via the wireless transceiver and the data network based on verification of the user's identity.

Abstract: A computer-based method for providing a loyalty identifier to a merchant using a payment network is described. The method includes storing data including at least one loyalty identifier associated with a cardholder enrolled in a loyalty program and a corresponding payment card identifier, receiving a first authorization request message for a payment transaction initiated by a first cardholder using a first payment card at an originating merchant, the first authorization request message including a first merchant identifier and a first payment card identifier, determining a first loyalty program associated with the originating merchant based in part on the first merchant identifier and the data stored in the memory, determining a first loyalty identifier associated with the first cardholder for the first loyalty program based in part on the first payment card identifier and the data stored in the memory, and providing the first loyalty identifier to the originating merchant.

Abstract: An electronic device including an input sensing module including a sensing surface to which a palm is input, the sensing surface having a three-dimensional shape, and a control module comparing user palm information with input palm information sensed by the input sensing module to output an authentication signal when a number of data points of the user palm information consistent with the stored input palm information is equal to or greater than a predetermined number.

Abstract: Monitoring target matching means 71 matches monitoring targets shown in video captured by one or more imaging devices, and identifies monitoring targets estimated to be the same monitoring target, as an identified monitoring target. Target object identifying means 72 identifies a desired target object from one or more identified monitoring targets captured, using imaging times of each of the one or more identified monitoring targets.

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 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 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 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 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: 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: 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: 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: 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: 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: 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: 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.