US2021303829A1PendingUtilityA1

Face liveness detection using background/foreground motion analysis

Assignee: AWARE INCPriority: Feb 9, 2016Filed: Apr 8, 2021Published: Sep 30, 2021
Est. expiryFeb 9, 2036(~9.5 yrs left)· nominal 20-yr term from priority
G06V 40/172A61B 5/0077G06V 10/26G06V 40/45A61B 5/1128A61B 5/1176G06N 20/00G06T 7/11G06T 7/246G06T 2207/30201G06T 7/194G06K 9/6202G06K 9/00906G06K 9/00288G06K 9/34
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Claims

Abstract

Face recognition systems are vulnerable to the presentation of spoofed faces, which may be presented to face recognition systems, for example, by an unauthorized user seeking to gain access to a protected resource. A face liveness detection method that addresses this vulnerability utilizes motion analysis to compare the relative movement among three regions of interest in a facial image, and based upon that comparison to make a face liveness determination.

Claims

exact text as granted — not AI-modified
1 . A method of determining face liveness, comprising:
 receiving, at a processor of a face recognition system and from an image capture device of the face recognition system, a time-stamped frame sequence;   identifying corresponding pixels for each pair of sequential frames in the time-stamped frame sequence;   segmenting one of each pair of sequential frames in the time-stamped frame sequence into regions of interest;   calculating a motion feature for each region of interest of each pair of sequential frames in the time-stamped frame sequence;   generating a preliminary face-liveness determination for each pair of sequential frames in the time-stamped frame sequence, based on a comparison of the calculated motion features for each region of interest of the pair of sequential frames; and   making a final face-liveness determination based on the generated preliminary face liveness determinations.   
     
     
         2 - 20 . (canceled)

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