Invention Grant
- Patent Title: Differentiating between live and spoof fingers in fingerprint analysis by machine learning
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Application No.: US16755904Application Date: 2018-10-05
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Publication No.: US11580775B2Publication Date: 2023-02-14
- Inventor: Kenneth Jonsson , Alaa Halawani
- Applicant: Fingerprint Cards AB
- Applicant Address: SE Gothenburg
- Assignee: Fingerprint Cards AB
- Current Assignee: Fingerprint Cards AB
- Current Assignee Address: SE Gothenburg
- Agency: RMCK Law Group, PLC
- Priority: SE1751291-4 20171018
- International Application: PCT/SE2018/051023 WO 20181005
- International Announcement: WO2019/078769 WO 20190425
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G06N20/10 ; G06N3/08 ; G06V10/44 ; G06V10/764 ; G06V10/774 ; G06V40/12 ; G06V40/13 ; G06V40/40

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.
Public/Granted literature
- US20210209336A1 DIFFERENTIATING BETWEEN LIVE AND SPOOF FINGERS IN FINGERPRINT ANALYSIS BY MACHINE LEARNING Public/Granted day:2021-07-08
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