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 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:
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:
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 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 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:
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.