Abstract: A mobile device may include a plurality of sensors and a processor. The processor may be configured to determine trust data for an asset based upon inputs from the plurality of sensors, determine whether an asset is accessible or not accessible based upon evaluating the trust data with a trust determination algorithm, and continuously update the trust data to continue to allow access to the asset or revoke access to the asset based upon the inputs from the plurality of sensors.

Abstract: Techniques described here use variations in the sensor to generate an identifier for the sensor. Each sensor may be comprised of sub-sensing units, called pixels that may demonstrate variation in their sensing capability from one pixel to another. Embodiments of the invention, describe a method for using the relative variance of each pixel (relative to the whole sensor or/and a portion of the sensor) in generating an identifier for the sensor. In one embodiment, the method may obtain information associated with a plurality of pixels from a sensor, detect variations in the information associated for each of the pixels from a subset of the plurality of pixels and generate an identifier for the sensor using the detected variations in the information associated with each of the pixels from the subset of plurality of pixels.

Abstract: Methods, devices and systems for determining whether an object is detected by a scanner are disclosed. Fast-Fourier-Transforms (“FFT”) are determined, modified and evaluated. Each FFT may be determined with regard to a subset of gain-compensated pixel-values corresponding to pixel-values of an acquired image.

Abstract: A liveness-detection method and/or system is disclosed. A method of detecting liveness can comprise obtaining a single ultrasonic image of a biometric object. The single ultrasonic image can be subdivided into a plurality of overlapping sample blocks. Feature vectors can be extracted in a spatial domain and a frequency domain from each of the plurality of sample blocks. The feature vectors can be compared from each of the plurality of sample blocks to a classification model.

Abstract: A method of determining whether a biometric object is part of a live individual is described. In one such method, image information is acquired from the biometric object by using a sensor, such as an ultrasonic sensor. The image information may be analyzed in at least two analysis stages. One of the analysis stages may be a temporal analysis stage that analyzes changes in the image information obtained during a time period throughout which the biometric object was continuously available to the sensor. For example, a dead/alive stage may analyze differences between image information taken at two different times in order to identify changes from one time to the next. Other stages may focus on aspects of a particular image information set, rather than seeking to assess changes over time. These other stages seek to determine whether an image information set exhibits characteristics similar to those of a live biometric object.

Abstract: A fingerprint sensing apparatus may include a fingerprint sensor system and a control system capable of receiving fingerprint sensor data from the fingerprint sensor system. The control system may be capable of determining fingerprint sensor data blocks for at least a portion of the fingerprint sensor data and of calculating statistical variance values for fingerprint sensor data corresponding to each of the fingerprint sensor data blocks. The control system may be capable of determining, based at least in part the statistical variance values, whether an object is positioned proximate a portion of the fingerprint sensor system.

Abstract: A fingerprint sensing apparatus may include a fingerprint sensor system and a control system. The fingerprint sensor system may include an ultrasonic sensor array. The control system may be capable of receiving fingerprint sensor data from the fingerprint sensor system and of determining whether an object is positioned proximate a portion of the fingerprint sensor system. The control system may be capable of determining an acoustic impedance of at least a portion of an object that is positioned proximate the fingerprint sensor system. The control system may be capable of determining whether the acoustic impedance is within an acoustic impedance range corresponding to that of skin and of determining, based at least in part on the acoustic impedance, whether the object is a finger.

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: Techniques described here use variations in the sensor to generate an identifier for the sensor. Each sensor may be comprised of sub-sensing units, called pixels that may demonstrate variation in their sensing capability from one pixel to another. Embodiments of the invention, describe a method for using the relative variance of each pixel (relative to the whole sensor or/and a portion of the sensor) in generating an identifier for the sensor. In one embodiment, the method may obtain information associated with a plurality of pixels from a sensor, detect variations in the information associated for each of the pixels from a subset of the plurality of pixels and generate an identifier for the sensor using the detected variations in the information associated with each of the pixels from the subset of plurality of pixels.

Abstract: A fingerprint sensing apparatus may include a fingerprint sensor system and a control system capable of receiving fingerprint sensor data from the fingerprint sensor system. The control system may be capable of determining fingerprint sensor data blocks for at least a portion of the fingerprint sensor data and of calculating statistical variance values for fingerprint sensor data corresponding to each of the fingerprint sensor data blocks. The control system may be capable of determining, based at least in part the statistical variance values, whether an object is positioned proximate a portion of the fingerprint sensor system.

Abstract: A mobile device may perform authentication with an authenticating entity. The mobile device may comprise a plurality of sensors and a processor. The processor may be configured to: receive an authentication request from the authenticating entity requesting authentication information; and determine if the authentication request satisfies predefined user privacy preferences. If so, the processor may be configured to: retrieve the authentication information from at least one sensor to form a trust vector in response to the authentication request and to command transmission of the trust vector to the authenticating entity for authentication.

Abstract: A mobile device may perform continuous authentication with an authenticating entity. The mobile device may include a set of biometric and non-biometric sensors and a processor. The processor may be configured to receive sensor data from the set of sensors, form authentication information from the received sensor data, and continuously update the authentication information.

Abstract: Techniques described here use variations in the sensor to generate an identifier for the sensor. Each sensor may be comprised of sub-sensing units, called pixels that may demonstrate variation in their sensing capability from one pixel to another. Embodiments of the invention, describe a method for using the relative variance of each pixel (relative to the whole sensor or/and a portion of the sensor) in generating an identifier for the sensor. In one embodiment, the method may obtain information associated with a plurality of pixels from a sensor, detect variations in the information associated for each of the pixels from a subset of the plurality of pixels and generate an identifier for the sensor using the detected variations in the information associated with each of the pixels from the subset of plurality of pixels.

Abstract: A method of generating a biometric feature descriptor has been developed that includes acquiring an image of an anatomical feature having a biometric feature, isolating a region of the image having the biometric feature, extracting image data from the image of the region to identify a plurality of features for the biometric feature, transforming the extracted image data for each identified feature into a plurality of feature descriptors, mapping the feature descriptors for the plurality of features into a first arrangement of feature descriptors, generating a second arrangement of feature descriptors with a non-invertible transform of the first arrangement of feature descriptors, and storing the second arrangement of feature descriptors into an electronic database.

Abstract: A method for obtaining an identification characteristic for a subject includes acquiring an image of an eye of the subject, segmenting the eye image into different regions, extracting features in a sclera region segmented from the eye image, and generating data identifying at least one feature extracted from the sclera region of the eye image.

Abstract: A method segments iris images from eye image data captured from non-cooperative subjects. The method includes receiving a frame of eye image data, and determining whether a pupil exists in the image by detecting glare areas in the image. Upon finding a pupil, subsequent images are processed with reference to the pupil location and a radius is calculated for the pupil. A k means clustering method and principal component analysis are used to locate pupil boundary points, which are fitted to a conic. Using the pupil boundary, an angular derivative is computed for each frame having a pupil and iris boundary points are fitted to a conic to identify an iris region between the iris boundary and the pupil boundary. Noise data are then removed from the iris region to generate an iris segment. A method for evaluating iris frame quality and iris image segmentation quality is also disclosed.

Abstract: A method processes segmented iris images obtained by a non-cooperative image acquisition system to generate descriptors for features in the segmented iris image that are tolerant of segmentation error. The method includes receiving a segmented iris image, and selecting feature points in the segmented iris image to describe an iris locally.

Abstract: A system with its methods of detecting whether users are willing to access the biometric systems has been developed that includes acquiring the signal of an anatomical feature having a biometric feature, acquiring a dynamic feature for willingness test with/without biometric feature, isolating a region of the signal having the biometric feature, extracting feature descriptors from the region to identify a user, extracting a unique user consent signature from the dynamic feature for willingness test, storing the of feature descriptors and willingness signature into an electronic database and matching the feature descriptors and consent signatures with the ones stored in the electronic database during registration. Two types of consent biometrics schemes with two authentication example designs are developed.

Abstract: A method for obtaining an identification characteristic for a subject includes acquiring an image of an eye of the subject, segmenting the eye image into different regions, extracting features in a sclera region segmented from the eye image, and generating data identifying at least one feature extracted from the sclera region of the eye image.

Abstract: A method processes segmented iris images obtained by a non-cooperative image acquisition system to generate descriptors for features in the segmented iris image that are tolerant of segmentation error. The method includes receiving a segmented iris image, and selecting feature points in the segmented iris image to describe an iris locally.