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:
Disclosed is an apparatus and method for automatically enabling a touchscreen of a mobile device based on detection of the presence of a human finger. A mobile device can capture an image of an object with a fingerprint sensor. The mobile device may then enable a touchscreen display of the mobile device in response to a determination that the object captured within the image is a specific type of object.
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:
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:
Disclosed is an apparatus and method for automatically enabling a touchscreen of a mobile device based on detection of the presence of a human finger. A mobile device can capture an image of an object with a fingerprint sensor. The mobile device may then enable a touchscreen display of the mobile device in response to a determination that the object captured within the image is a specific type of object.
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 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.