The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
May. 14, 2019

Filed:

Jun. 29, 2017
Applicants:

Nec Laboratories America, Inc., Princeton, NJ (US);

Nec Hong Kong Limited, Hunghom, Kowloon, HK;

Inventors:

Manmohan Chandraker, Santa Clara, CA (US);

Xiang Yu, Mountain View, CA (US);

Eric Lau, Kowloon, HK;

Elsa Wong, Kowloon, HK;

Assignee:

NEC Corporation, Tokyo, JP;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06F 21/32 (2013.01); G06N 20/00 (2019.01); G06N 99/00 (2019.01); G07C 9/00 (2006.01); H04L 29/06 (2006.01); G06F 21/62 (2013.01); G06K 9/46 (2006.01); G06K 9/66 (2006.01);
U.S. Cl.
CPC ...
G06F 21/32 (2013.01); G06F 21/6218 (2013.01); G06K 9/00221 (2013.01); G06K 9/00228 (2013.01); G06K 9/00255 (2013.01); G06K 9/00281 (2013.01); G06K 9/00288 (2013.01); G06K 9/00624 (2013.01); G06K 9/00791 (2013.01); G06K 9/00906 (2013.01); G06K 9/4652 (2013.01); G06K 9/66 (2013.01); G06N 20/00 (2019.01); G06N 99/005 (2013.01); G07C 9/00158 (2013.01); G07C 9/00166 (2013.01); H04L 63/0861 (2013.01); H04L 63/1483 (2013.01); G06F 2221/2133 (2013.01);
Abstract

A face recognition system and corresponding method are provided. The face recognition system includes a camera configured to capture an input image of a subject purported to be a person. The face recognition system further includes a memory storing a deep learning model configured to perform multi-task learning for a pair of tasks including a liveness detection task and a face recognition task. The face recognition system also includes a processor configured to apply the deep learning model to the input image to recognize an identity of the subject in the input image and a liveness of the subject. The liveness detection task is configured to evaluate a plurality of different distractor modalities corresponding to different physical spoofing materials to prevent face spoofing for the face recognition task.


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