Abstract: Novel systems and methods are disclosed for electronic key provisioning and access management in connection with mobile devices. The electronic keys can be time-denominated and event-denominated, thereby increasing the security and ease of use of access management for physical or virtual resources. The access management is granted in a protocol based on biometric features, contextual data, electronic keys, or a combination thereof.

Abstract: A monitoring device monitors facility elements in a building. Self-localization of the monitoring device is estimated by collating measured three-dimensional shapes with a map for localization including the shapes and positions of structural objects inside a building excluding the shapes and positions of facility elements. The monitoring device extracts the shape and position of a facility element candidate from the measured three-dimensional shapes; and calculates a similarity between the shape and position of each of the facility elements in the periphery of the self-localization extracted from the facility element collation map. The monitoring device identifies which of the facility elements in the periphery of the self-localization extracted from the facility element collation map is the facility element candidate extracted from the measured three-dimensional shape on the basis of the calculated similarity.

Abstract: According to one embodiment, provided is a method by which an electronic device comprising a minimum fingerprint sensing area processes fingerprint information, comprising the steps of: acquiring a fingerprint image from the fingerprint sensing area; calculating a shade change value, defined by a shade difference value from a neighboring pixel, for each pixel of the fingerprint image; selecting points, as feature point candidates, of which the shade change value is a threshold value or more; applying artificial distortion for noise filtering to an area including the feature point candidates and neighboring pixels thereof; and selecting, as final feature points, candidates of which the shade change value after the artificial distortion is within a threshold range from among the feature point candidates.

Abstract: A scannable object is sensed and scanned. A map is constructed based on the scan results. The map is compared to one or more stored templates. Results of the comparison are provided. In some implementations, a secured processor may construct the map and may provide reduced resolution (and/or other versions that contain less information) versions of the map and/or the stored templates to one or more other processors. The one or more other processors may determine a match-set based on matching between the reduced resolution map and stored templates. The secured processor may then identify whether or not a match exists between the map and any stored template based on the match-set.

Abstract: In some implementations, a computer-implemented method includes an iterative minutiae matching technique that initially groups mated minutiae within a list of all possible minutiae between a reference fingerprint and a search fingerprint, and then successively performs a geometric consistency check of the mated minutiae within the group. In some instances, the iterative matching technique enables improved identification of globally aligned mated minutiae within distorted regions, which may be used to subsequently improve the calculation of a similarity score between a reference fingerprint and a search fingerprint.

Abstract: The present disclosure applies to the field of biometric identification technologies and provides a method and an apparatus for fingerprint identification. The method includes: extracting a minutia of the input fingerprint image by using a statistical method; performing fingerprint matching according to the extracted minutia to obtain a fingerprint identification result. According to the method provides in embodiments of the present disclosure, the direction of the minutia is calculated by using statistical information, a descriptor with statistical significance is added for the minutia, and during the matching process, calculation of the similarity of the minutia by using the descriptor and region matching by using information of the direction field and the gradient field of the overlapping region are added, therefore, instability and weak specificity of expression of fingerprint characteristics in a conventional algorithm are avoided, and accuracy of the fingerprint identification is improved.

Abstract: Various examples of systems, methods, and programs embodied in computer-readable mediums are provided for fingerprint liveness detection. Fingerprint liveness may be determined by evaluating pixels of a fingerprint image to identify pores along a ridge segment of the fingerprint image. A circular derivative operator can be used to identify the pores. Liveness of the fingerprint can be determined based upon features of the identified pores.

Abstract: A method of controlling access to an electronic device includes scanning a fingerprint of a user and obtaining a first image of the fingerprint. A preset number of feature points of the fingerprint from the first image are extracted. A distance value between each of the extracted feature points is adjusted to obtain a new image. A first slide path according to touch signals corresponding to the extracted feature points in the new image is identified. The first slide path is set as a password for unlocking the electronic device.

Abstract: A fingerprint enrollment method and a fingerprint enrollment apparatus are provided. A minutiae feature and a pore feature of a first fingerprint image are extracted to obtain a first template. A minutiae feature and a pore feature of a second fingerprint image are extracted to obtain a second template. A minutiae matching score between the minutiae features of the first template and the minutiae features of the second template is calculated. When the minutiae matching score is between the first threshold and a second threshold, stitching, mosaicking or synthesis of the first template and the second template are performed by utilizing a matching relation between the pore features of the first template and the pore features of the second template and utilizing the matching relation between the minutiae feature of the first template and the minutiae feature of the second template.

Abstract: In some implementations, a computer-implemented method may include: identifying one or more neighboring minutiae within a particular octant neighborhood for the octant feature vector for each minutia included in a list of minutiae associated with a search fingerprint; computing, for each minutia included in the list of minutiae, a direction difference between each minutia included in the list of minutiae, and each of the one or more neighboring minutiae identified for the octant feature vector for each minutia included in the list of minutiae; computing, for each minutia included in the list of minutiae, a minutia quality confidence; and computing a fingerprint quality confidence.

Abstract: A fingerprint recognition method and electronic device are provided. The fingerprint recognition method includes the steps of obtaining first input data; generating a first waveform diagram corresponding to a first minutia of the first input data; obtaining second input data; generating a second waveform diagram corresponding to a second minutia of the second input data; and comparing the first waveform diagram with the second waveform diagram.

Abstract: The invention provides a computing device for processing fingerprint template data, wherein the computing device comprises modules configured for generating transformed fingerprint template data from original fingerprint minutiae template data, in which minutiae are represented at least by Cartesian or polar coordinates and an inherent minutiae direction, the computing device being configured to generate for each minutia of the original fingerprint minutiae data corresponding mega-vicinity data. The computing device may further comprise a comparator module being configured to compare two transformed fingerprint template data that comprises, for each minutia, mega-vicinity data of a first fingerprint and a second fingerprint. The computing device may further comprise a biometrics-secret binding module for protecting.

Abstract: Fingerprint enrollment is described. An initial procedure in which the appropriate area of the finger is determined from the size of a user's finger, followed by a guidance procedure where guidance information is provided in a pseudo random manner and further fingerprint data is obtained during the pseudo random guidance. When the appropriate area of the finger has been covered, fingerprint data is used in a calculation of fingerprint enrollment data that can be used in subsequent steps in the enrollment procedure.

Abstract: Systems, methods, and kits are disclosed for collection, labeling and analyzing biological samples containing nucleic acid in conjunction with collecting at least one ridge and valley signature of an individual. Such devices and methods are used in forensic, human identification, access control and screening technologies to rapidly process an individual's identity or determine the identity of an individual.

Abstract: In order to authenticate a user of an electronic device, an image of the user's fingerprint is captured. Before feature information is extracted, the fingerprint image is enhanced via localized normalization thereby increasing contrast within the fingerprint image. Thereafter, feature information, such as key point data, is extracted from the image and compared to a predefined template to determine whether the feature information matches the template. If so, the user is authenticated. By enhancing the quality of the fingerprint image through localized normalization and other techniques, the reliability of the matching operation is significantly enhanced. In addition, using key point comparisons for assessing similarity between the feature information and the template helps to address inconsistencies relating to finger rotation, scale, and translation during capture.

Abstract: In one aspect, methods that use a novel representation, referred to as an octant feature vector (OFV), are used for matching distorted fingerprints. For instance, a feature-based matcher for distorted fingerprint matching may use a two-step local and global matching scheme to compare a set of feature vectors that are derived from minutiae of a reference fingerprint and a search fingerprint. The relative geometric relationships between the reference minutia and nearest minutiae may be derived and encoded into a feature vector based on orientation difference. The OFV is invariant to the rigid transformations and is insensitive to nonlinear distortions since the relative geometric relationships are independent from the rigid transformation.

Abstract: A fingerprint sensing system. The fingerprint sensing system includes: at least one sensor; at least one display device; at least one application processor; and at least one secure enclave processor. The application processor(s) receives fingerprint data from the sensor(s) and provides the fingerprint data to the secure enclave processor(s). The secure enclave processor(s) decodes the fingerprint data and provides a signal indicative of at least one matched node. The application processor(s), responsive to receipt of the signal indicative of the matched node(s), presents at least a portion of a synthetic fingerprint image via at least one display device corresponding to the matched node(s).

Abstract: According to a fingerprint authentication method, fingerprint data is obtained through a fingerprint sensor, a degree of rotation of an electronic device including the fingerprint sensor when the fingerprint data is obtained is detected, a pattern of minutiae is extracted from the fingerprint data, a registration pattern for a registered fingerprint is rotated based on the degree of rotation, the pattern of minutiae is matched to the registration pattern, and the fingerprint data is authenticated on the basis of a match result.

Abstract: A fingerprint matching method and device are provided. The fingerprint matching method includes the step of capturing a plurality of registered templates, capturing a to-be-recognized data, comparing the to-be-recognized data and the plurality of registered templates, generating a plurality of comparison scores corresponding to the registered templates which overlap the to-be-recognized data, generating a comparison result according to the plurality of comparison scores, and determining whether the to-be-recognized data is verified according to the comparison result.

Abstract: A method is described that includes capturing a pixelated depth image of a person with a depth camera. The method also includes identifying body parts from the image. The method also includes forming a vector of distances between the body parts. The method also includes comparing the vector against a database of respective body distance vectors for a plurality of people to identify the person.

Abstract: A method and device for compressing a fingerprint template is provided. The fingerprint template is derived from fingerprint image data captured from a sensor. The compressing process initially surveys the fingerprint template to determine one or more starting points for encoding. Subsequently, the compression process selects a starting point from the one or more starting points and proceeds to encode that starting point. After encoding the starting point, the compression process encodes all contours extending from the selected starting point. The above process is repeated until all starting points and their associated contours have been encoded.

Abstract: A fingerprint sensing apparatus includes a fingerprint sensor system and a control system capable of receiving fingerprint sensor data from the fingerprint sensor system. The control system may determine, according to the fingerprint sensor data, whether an object is positioned proximate a portion of the fingerprint sensor system. If the control system determines that an object is positioned proximate the portion of the fingerprint sensor system, the control system may determine whether the object is a finger or a non-finger object. The control system may determine whether the fingerprint sensor data includes fingerprint image information of at least an image quality threshold.

Abstract: The system provides a method and apparatus for sorting and displaying collections of communications. These communications can be a single type or multiple types of data and may come from email systems, bulletin boards, text messages, Facebook and Twitter postings and comments, financial transactions, travel itineraries or any other type of communications. The communications represented by the system can be electronic or physical as desired. The system can also present forwarded, copied, replied, or other types of communications. In one embodiment, the system provides a Universe View of a set of communications. The Universe View, in one embodiment, is a three dimensional representation of a plurality of cubes. Each cube represents a subset of a collection of communications. Each cube can be color coded or shaded to represent a dominant theme of the contents of the communications represented by the cube.

Abstract: Techniques are disclosed herein for artificial intelligence machine learning to increase collection of digital livescan fingerprints. According to certain embodiments of the invention, processing parameters can be automatically machine-optimized for processing scan images of fingerprints (and other areas) to increase the amount of detected minutia. The processing parameters can alter and change over time to reflect historical successes and failures of particular optimizations. This allows a fingerprint collection device to learn over time and become more accurate (i.e., more successful at detecting minutia). Additionally, the techniques further include receiving input from a user regarding physical traits of a scanned subject, to further customize the processing parameter optimization. Various other features are provided herein.

Abstract: A method and a system for rectifying a distorted fingerprint are provided. The method includes following steps. A feature of a distorted fingerprint is extracted, a reference distorted fingerprint whose feature is matched with the feature of the distorted fingerprint is searched for in a reference distorted fingerprint database, a dense distortion field of the reference distorted fingerprint is obtained in the reference distorted fingerprint database and the distorted fingerprint is rectified to a normal one according to the dense distortion field of the reference distorted fingerprint.

Abstract: A method for determining a phase for a captured image, the method comprising forming a demodulated image defining wrapped phase values and modulation values, each being associated with at least one region in the captured image; identifying a position of an edge in the captured image dependent upon the modulation values; determining a position of substantial change in the wrapped phase values in the captured image dependent upon the identified position of the edge, and determining at least one unwrapped phase value based on the position of the edge and the position of the substantial change in the wrapped phase values by shifting a position of the substantial change in the wrapped phase values to the identified position of the edge, so that said unwrapped phase value is adjusted by at least one cycle.

Abstract: Processing a fingerprint can include determining one or more optimal weights based on ridge flow angles or ridge flow angle differences. Determination of the optimal weight(s) can be based on predicting a ridge flow angle for each cell in a ridge flow map using one or more neighboring cells. The optimal weights may be estimated so as to minimize error between the predicted and actual ridge flow angles. Alternatively, the optimal weight(s) may be determined using a predicted ridge flow angle difference for each cell in a difference map that is based on an actual ridge flow angle difference for one or more neighboring cells. The optimal weights can be estimated to minimize the error between predicted and actual angle differences. Additionally, a correlation penalty may be determined based on an extent of spatial correlation in the ridge flow angle differences in the difference map.

Abstract: A non-transitory computer readable medium that stores instructions that once executed by a computer cause the computer to execute the stages of: calculating first curvature attributes of first areas of a first representation of a first three dimensional object; calculating second curvature attributes of second areas of a second representation of a second three dimensional object; selecting first points of interest of the first representation in response to the first curvature attributes; selecting second points of interest of the second representation in response to the second curvature attributes; classifying the first points of interest to first classes; classifying the second points of interest to second classes; calculating multiple sets of first vectors that are indicative of spatial relationships between first points of interest, wherein different sets out of the multiple sets of the first vectors are associated with different first classes; calculating multiple sets of second vectors that are indicativ

Abstract: A torch casing 10 with a reflector 46 and a bulb 44 incorporates camera 48 50 52 taking pictures through front face 64 and employs flash tube 58 behind the camera chip 50 reflecting off reflector 46 and reflected onto reflector 46 by mirrored surface 60 on the back of camera chip 50. Captured images, still or video, are exported by radio frequency unit 22 to, for example, secure and supervised store 124. Ultraviolet unit 65 causes fluorescence which is photographed by camera 48 50 52. Display screen 70 shows camera 48 50 52 images or received images. The apparatus continuously sends its position determined by GPS navigation. Sounds can be recorded, sent and received. Iris patterns and fingerprints can be recognized from an updated store.

Abstract: A processing method for piecing together a fingerprint based on a mobile terminal and a mobile terminal are disclosed. The method includes: acquiring fingerprint information of a user via a fingerprint multiplexing button; comparing the fingerprint information of the user with fingerprint information which is stored in advance; unlocking the mobile terminal if the fingerprint information of the user matches the fingerprint information which is stored in advance; and locking the mobile terminal and prompting the current operating user to re-input fingerprint information to unlock the mobile terminal if the fingerprint information of the current operating user is inconsistent with the fingerprint information which is stored in advance. When the user utilizes the mobile terminal, a fingerprint match is performed. If different, the mobile terminal is locked for increasing the safety of the information.

Abstract: A fingerprint minutia display input device includes: an image output controller for displaying a fingerprint image and a pointer for designating a minutia; and a minutia input setting unit for displaying a minutia display mark on the minutia; wherein the fingerprint minutia display input device includes a gray-scale value adjustment unit for setting the gray-scale intensity of the entire fingerprint image on which the pointer is positioned, the setting being performed within a range of a display gray-scale width constituted with upper-limit and lower-limit gray-scale values. The screen output controller includes a gray-scale width update function for displaying an updated output display of the fingerprint image in the set display gray-scale width, and a gray-scale width fixing/holding function for fixedly holding the set display gray-scale width as a set display gray-scale width for the minutia display input when there is no new setting information regarding the display gray-scale width.

Abstract: Method of processing an image of the skin is disclosed. The method comprises the receipt of skin image data, the generation of simulated images with artificial transformation and the analysis of the simulated images to form a vector from extracted features.

Abstract: A client terminal acquires an image that includes at least a part of a fingerprint, and detects an orientation of a ridge that forms the fingerprint from the image, and detects a singular point of the fingerprint from the image, and calculates an angle formed, on a circumference of a reference circle whose center is the singular point, by the orientation of the ridge and the direction of a tangent line that comes into contact with the reference circle, and creates narrow down data that is used to narrow down matching data that is used to match the fingerprint by associating the angle with a position on the circumference of the reference circle.

Abstract: A method and electronic device for generating fingerprint enrollment data are provided. The method includes the steps of capturing first input data, wherein the first input data is divided into a plurality of first blocks and each of the first blocks has an index value; capturing second input data, wherein the second input data is divided into a plurality of second blocks and each of the second blocks has the index value; comparing and combining the first input data with the second input data to generate a comparison result; accumulating the index values of the first blocks and the second blocks in an area of overlapping between the first input data and second input data; and generating prompting information according to the comparison result.

Abstract: Provided are a striped pattern image examination support device, method, and program. The device includes: image transformation element for transforming at least one of two striped pattern images so as to cause coordinates of charting points, which are points that correspond across the two striped pattern images, to match in a plurality of pairs of the charting points which are included in the two striped pattern images; intersecting point extraction element for calculating coordinates of intersecting points of stripes in the striped pattern images and line segments each of which connects two of the charting points in the striped pattern images; charting diagram display element for displaying the two striped pattern images after transformation by the image transformation element, and displaying figures representing charting points at positions corresponding to coordinates after the transformations of each of the charting points on the two striped pattern images.

Abstract: A biometric registration and verification system and method is usable for registration, for verification and/or for participation, and may comprise: a biometric sensor for capturing biometric data; a data entry device, a computer processor for receiving captured biometric data and entered data; and a database storing records thereof. The identifying biometric data may be related to the entered data in the database record. The biometric sensor may capture verification biometric data and the data entry device verification data; and the processor compares the verification biometric data and the received verification data with the identifying biometric data and entered data from the database. If the verification biometric data and the received verification data of the person to be verified corresponds to database identifying biometric data and entered data, then an indication of verification of the person is provided.

Abstract: Various systems, methods, and programs embodied in computer-readable mediums are provided for fingerprint liveness detection. In one embodiment, a method for determining fingerprint liveness is provided that comprises receiving a plurality of image analysis data of a fingerprint image; condensing the plurality of image analysis data; and determining liveness of the fingerprint image based upon the condensed data.

Abstract: The present disclosure concerns a method of identifying a biometric record of an individual in a database (108), the database comprising at least first and second sets of records, each set comprising at least one record, the method comprising: receiving by a processing device (102) at least first and second input biometric samples of said individual; performing on the records of said first set a first matching process comprising a first filtering operation followed by a second filtering operation, and performing on the records of said second set a second matching process comprising said second filtering operation followed by said first filtering operation, wherein said first filtering operation comprises comparing said first input biometric sample to a first reference biometric sample of each record, and said second filtering operation comprises comparing said second input biometric sample to a second reference biometric sample of each record; and identifying a biometric record of said individual based on res

Abstract: Systems (100) and methods (300, 400) for efficient comparative non-spatial image data analysis. The methods involve ranking a plurality of non-spatial images (1011, 1050, 1231, 1539, 0001, 0102, 0900, 1678, 0500, 0020, 0992, 1033, 1775, 1829) based on at least one first attribute thereof; generating a screen page (1102-1106) comprising an array (1206) defined by a plurality of cells (1208) in which at least a portion of the non-spatial images are simultaneously presented; and displaying the screen page in a first GUI window (802) of a display screen. Each cell comprises only one non-spatial image. The non-spatial images are presented in an order defined by the ranking thereof.

Abstract: A method for registering a fingerprint image is provided. The method comprises steps of: establishing an orientation field template base according to M training fingerprints, wherein M is a positive integer larger than one; receiving a fingerprint image to be registered; obtaining an initial orientation field of the fingerprint image; obtaining an estimated position and an estimated direction of the fingerprint image according to the initial orientation field and the orientation field template base; and registering the fingerprint image according to a preset position, a preset direction, the estimated position and the estimated direction.

Abstract: A method of generating 3D coordinates includes: acquiring a target image including a finger region with a camera of a terminal; detecting the finger region in the target image using an image processing technique; detecting a fingertip region in the finger region; and calculating 3D coordinate values using the fingertip region. Also provided is a terminal suitable for performing such a method.

Abstract: Provided are a light emitting diode unit including a light emitting diode integrated with a lens, a line printer head using the light emitting diode, and a method of manufacturing the light emitting diode. The light emitting diode unit includes the light emitting diode layer bonded to a transparent substrate after removing a growth substrate on which the light emitting layer is grown, and a lens that refracts light emitted from the light emitting diode is formed on the transparent substrate.

Abstract: A system is disclosed for providing secure access to a controlled item, the system comprising a database of biometric signatures, a transmitter subsystem comprising a biometric sensor for receiving a biometric signal, means for matching the biometric signal against members of the database of biometric signatures to thereby output an accessibility attribute, and means for emitting a secure access signal conveying information dependent upon said accessibility attribute, wherein the secure access signal comprises one of at least a rolling code, an encrypted Bluetooth™ protocol, and a WiFi™ protocol, and a receiver sub-system comprising means for receiving the transmitted secure access signal and means for providing conditional access to the controlled item dependent upon said information.

Abstract: The quality of biometric information that will be input the next time is estimated. Estimated matching quality information is calculated which indicates the degree of matching between estimated quality information and quality information of the actually input biometric information. Further, past quality information is calculated which indicates how the quality of a plurality of pieces of estimated matching quality information varied in the past. Then, whether or not the biometric information is to be registered is determined according to the estimated matching quality information and the past quality information.

Abstract: An electronic device may include a finger biometric sensor, a display, and a processor coupled to the finger biometric sensor and the display. The processor may be switchable between a user-interface locked mode and a user-interface unlocked mode. The processor may be capable of determining a pattern of input motions on the finger biometric sensor and displaying an image on the display corresponding to the pattern of input motions. The processor may also be capable of switching between the user-interface locked mode and the user-interface unlocked mode when the pattern of input motions matches a stored pattern representing a user unlock code.

Abstract: Provided are a light emitting diode unit including a light emitting diode integrated with a lens, a line printer head using the light emitting diode, and a method of manufacturing the light emitting diode. The light emitting diode unit includes the light emitting diode layer bonded to a transparent substrate after removing a growth substrate on which the light emitting layer is grown, and a lens that refracts light emitted from the light emitting diode is formed on the transparent substrate.

Abstract: The present invention is an individual product identification method, comprising: previously storing epidermal pattern images in a predetermined scope with a predetermined location of a registered product taken as a reference; imaging the epidermal pattern in the predetermined scope with the predetermined location of the product, being a target of individual product identification, taken as a reference; correcting the imaged epidermal pattern image of the product, being a target of individual product identification to an image for collation with the registered product with the predetermined location of the product taken as a reference: and collating an image characteristic of the epidermal pattern image of the registered product with the image characteristic of the corrected epidermal pattern image, and identifying whether the product, being a target of individual product identification, is one of the registered products.

Abstract: An apparatus detects asymmetry in an object, such as a brain. The apparatus includes a processor programmed to fit a three-dimensional image of the object to a preselected shape, such as a standard brain atlas. The processor projects the three-dimensional image of the object to a two-dimensional surface image. The processor compares corresponding mirror image symmetric voxel pairs on the left and right sides of the surface image. The processor generates at least one of an asymmetry map and an asymmetry index based on the deviations in the pixel pairs. The processor can also mask, before the comparison, pixels of the surface image which are asymmetric in a normal brain.

Abstract: An epidermis pattern detection unit detects epidermis patterns in an epidermis image captured from the epidermis of skin by an epidermis image capturing unit. An acquired element analysis unit analyzes uniformity of shapes of the epidermis patterns in the epidermis image. A texture evaluation unit evaluates a texture state of the skin based on the uniformity of shapes of the epidermis patterns. The present technology, for example, may be applied to systems that evaluate the texture state of the skin.

Abstract: To identify a media item from a database of media items that have common content, a region of interest is defined to include a plurality of frames of a test fingerprint that correspond to different segments of a media item. A media identification system queries a database of reference fingerprints to identify candidate reference fingerprints that contain a frame that matches a frame of the test fingerprint. When a candidate reference fingerprint is found, additional matching frames are determined and the region of interest is reduced to eliminate the matched frames of the test fingerprint. This continues until the region of interest is empty or there are no further matching candidates. Once the set of candidate reference fingerprints are identified, the media identification system compares the test fingerprint to the candidates to determine a closest match, thereby identifying the media item associated with the test fingerprint.