DIFFERENTIATING BETWEEN LIVE AND SPOOF FINGERS IN FINGERPRINT ANALYSIS BY MACHINE LEARNING

    公开(公告)号:US20210209336A1

    公开(公告)日:2021-07-08

    申请号:US16755904

    申请日:2018-10-05

    Abstract: The present disclosure relates to a method performed in a fingerprint analysis system for facilitating differentiating between a live finger and a spoof finger. The method comprises acquiring a plurality of time-sequences of images, each of the time-sequences showing a respective finger as it engages a detection surface of a fingerprint sensor. Each of the time-sequences comprises at least a first image and a last image showing a fingerprint topography of the finger, wherein the respective fingers of some of the time-sequences are known to be live fingers and the respective fingers of some other of the time-sequences are known to be spoof fingers. The method also comprises training a machine learning algorithm on the plurality of time-sequences to produce a model of the machine learning algorithm for differentiating between a live finger and a spoof finger.

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