Abstract: Methods, systems, apparatuses, and/or devices for alerting a user of a change in a medical condition. The methods, systems, apparatuses, and/or devices may a first biometric sensor configured to take a first physiological measurement of a user; a second biometric sensor configured to take a second physiological measurement of a user, wherein the first type of physiological measurement is different than the second type of physiological measurement; and a processing device coupled to the first biometric sensor and the second biometric sensor. The processing device is configured to receive the first physiological measurement; determine whether the first physiological measurement includes a biometric marker associated with the user.

Abstract: A mobile terminal including a wireless communication processor configured to provide wireless communication; a microphone; a low-power image sensor configured to detect a subject based on a black and white image sensed by the low-power image sensor; and a controller configured to control the microphone to be in an inactivate state, in response to detecting a face image included in the black and white image sensed by the low-power image sensor, and switch the microphone from the inactive state to an active state and execute a voice recognition function to receive voice information from the subject.

Abstract: Biometric authentication of a subject utilizing bone and/or blood vessel (vein or artery) structures is provided. A vertice profile is generated from a non-invasive, multi-dimensional image scan of a subject or a portion thereof. The vertice profile is generated by identifying relative locations of divots and peaks on a surface of a bone structure or by identifying branch intersections and traversals of blood vessels. Additional verification techniques can be used for proof of life (verification of human subject). If authenticated, access to physical or digital/virtual assets is allowed.

Abstract: A method performed by a computer for biometric authentication includes: obtaining, by a processor of the computer, a first image group including a plurality of images that are sequentially captured by a biometric sensor configured to capture at least a part of a region of a body of a user; obtaining, by the processor of the computer, a movement amount of the body and a distance between the body and the biometric sensor; and selecting, by the processor of the computer, a second image group from the first image group in accordance with the movement amount and the distance, the second image group including images to be used in authentication processing with respect to the body, wherein the size of a common region between images to be included in the second image group is adjusted according to the distance.

Abstract: Secure communications are provided between a user computing device and a server computing device. An enrollment request is received from a user computing device that is configured via a distributed client software application, and is processed. The enrollment request is usable to enroll the user computing device in a network and includes an encrypted partial initial biometric vector associated with a user. An authentication request is processed that is subsequently received that includes an encrypted partial second biometric vector and that is associated with a user of the user computing device. A comparison of the encrypted partial initial biometric vector and the encrypted partial second biometric vector is performed, and a value representing the comparison is generated and transmitted to the user computing device. The user computing device is authenticated where the value is above a minimum threshold.

Abstract: There is provided an image processing apparatus and an image processing method that make it possible to appropriately perform an image process of images of a plurality of visual points. A saturated pixel restoration section restores a pixel value of each saturated pixel whose pixel value is saturated from among pixels of images of a plurality of visual points picked up in a predetermined exposure time period, and a processing section performs an image process of the images of the plurality of visual points with regard to which the pixel value of each saturated pixel is restored. The present technology can be applied to an image process of images of a plurality of visual points such as a light field technology for reconstructing, for example, images picked up using various optical lenses from images of a plurality of visual points or a like technology.

Abstract: A server, an electronic device, and a notification method in an Internet service are provided. The server includes a communication unit, a social notification message generator configured to generate a social notification message, and a controller configured to compare, if recognizing first contents that are new contents from a first user, previously received contents with the first contents, to control, if second contents including at least a part of information of the first contents exist among information of the previously received contents, the social notification message generator to generate a notification message indicating that the first contents related with the second contents are uploaded, and to control the communication unit to send the generated notification message to at least one user who uploads one of the first contents and the second contents.

Abstract: Systems and methods for updating an enrollment template having a plurality of enrollment views of a biometric input object. A determination is made as to whether a new input biometric view is a candidate view for template update based on a match criterion, and a determination is made as to whether the new input biometric view increases coverage of the biometric input object by the enrollment template. The new input biometric view is added to the enrollment template as a new enrollment view in response to determining that the new biometric view i) is a candidate view for template update, and ii) increases coverage of the biometric input object by the enrollment template.

Abstract: A fraud detection method for access control via facial recognition, wherein the following are carried out in the region of a zone where the access control is verified for an individual presenting in the region of the zone: a measure of the weight of the individual, at least one weight sensor being provided on the ground for this purpose; an estimation of the weight of the individual by processing by a computer unit of an image acquired of the face of an individual presenting at the access control; a comparison by the computer unit between the estimated weight and the measured weight and wherein the computer unit triggers or not the sending of a fraud detection signal as a function of the result of this comparison.

Abstract: Systems and methods for providing privacy control for digital capture of a recording include identifying a person within a digital capture that is a recording of a person within an environment based on received information regarding the person. A disposition tag is associated with an identified person in the recording. The disposition tag references a privacy control action to take according to privacy constraints for the person. Coordinates in the recording where the privacy control action is to be applied are determined.

Abstract: The invention relates to a method for operating an eye tracking device (10) comprising as components an imaging device (20), an illumination unit (30) and a processing unit (40) and further at least two adjustment parameters (PA), for adjusting the components (20; 30; 40). The eye tracking device (10) comprises a control unit (42) for controlling the adjustment parameters (PA). According to the method an image (60) of an eye is captured, a condition (44) with respect to a quality related to eye tracking or a power consumption of the components (20; 30; 40) is set, a predefined correlation (42a) correlating the adjustment parameters (PA) to the quality and the power consumption is provided and the control unit (42) controls the adjustment parameters (PA) according to the predefined correlation (42a), so that the element, with respect to which the condition (44) was set, fulfils the condition (44).

Abstract: In an approach to securing data using alternative value identification schemes, one or more computer processors receive user registration data, wherein the user registration data includes one or more authentication parameters, wherein the one or more authentication parameters includes one or more physical pressure-based inputs by a user. The one or more computer processors receive an access request requiring an authentication from the user, wherein the access request includes the one or more physical pressure-based inputs by the user associated with the one or more authentication parameters. The one or more computer processors determine whether the one or more authentication parameters match the user registration data. Responsive to determining that the authentication data matches the registration data, The one or more computer processors authenticate access for the user.

Abstract: A portable electronic device and method. The portable electronic device includes a first camera, a second camera, an electronic processor, and one or more sensors. The electronic processor is configured to detect, based on information obtained from the one or more sensors, an incident and select a camera responsive to the incident. The electronic processor is further configured to capture an image using the selected camera and determine, within the image, a subject of interest, wherein the subject of interest is at least one selected from the group consisting of a person, an object, and an entity. The electronic processor is also configured to initiate an edge learning process on the subject of interest to create a classifier for use in identifying the subject of interest and transmit the classifier to a second portable electronic device within a predetermined distance from the portable electronic device.

Abstract: A fingerprint verification method includes selecting one or more first fingerprint groups from among a plurality of fingerprint groups based on an input fingerprint image, each fingerprint group of the plurality of fingerprint groups including partial fingerprint images; and determining whether verification is successful based on the input fingerprint image and each of the partial fingerprint images included in the one or more first fingerprint groups.

Abstract: Provided are a display panel, a manufacturing method thereof and a display device. The display panel includes: a first substrate and a second substrate disposed opposite to each other, and a plurality of light-emitting units and a plurality of fingerprint identification units, disposed on one side of the first substrate facing to the second substrate. Each of the plurality of light-emitting units includes a first N-type semiconductor layer and a first P-type semiconductor layer, each of the plurality of fingerprint identification units includes a second N-type semiconductor layer and a second P-type semiconductor layer. The first N-type semiconductor layer and the second N-type semiconductor layer are disposed in a same layer, and the first P-type semiconductor layer and the second P-type semiconductor layer are disposed in a same layer.

Abstract: To provide a technology of more accurately detecting spoofing in face authentication, without increasing a scale of a device configuration and a burden on a user. A spoofing detection device includes a facial image sequence acquisition unit, a line-of-sight change detection unit, a presentation information display unit, and a spoofing determination unit. The facial image sequence acquisition unit acquires a facial image sequence indicating the face of a user. The line-of-sight change detection unit detects information about a temporal change in the line-of-sight from the facial image sequence. The presentation information display unit displays presentation information presented to the user as part of an authentication process. The spoofing determination unit determines the likelihood of the face indicated by the facial image sequence being spoofing on the basis of the information about the temporal change in the line-of-sight with respect to the presentation information.

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: 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: 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: 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: 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: 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: 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: 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 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: 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 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: 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: 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: 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 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, 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 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: 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: 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: 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: 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: 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: 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 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: 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: 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 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: 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.