US 12,014,571 B2
Method and apparatus with liveness verification
SungUn Park, Suwon-si (KR); Hyeongwook Yang, Suwon-si (KR); Tushar Balasaheb Sandhan, Suwon-si (KR); Jiaqian Yu, Beijing (CN); Jingtao Xu, Beijing (CN); Youngjun Kwak, Seoul (KR); Juwoan Yoo, Anyang-si (KR); and Jae Joon Han, Seoul (KR)
Assigned to Samsung Electronics Co., Ltd., Suwon-si (KR)
Filed by Samsung Electronics Co., Ltd., Suwon-si (KR)
Filed on May 28, 2021, as Appl. No. 17/333,915.
Application 17/333,915 is a continuation of application No. 16/268,792, filed on Feb. 6, 2019, granted, now 11,023,757.
Claims priority of application No. 10-2018-0018795 (KR), filed on Feb. 14, 2018; and application No. 10-2018-0024891 (KR), filed on Feb. 28, 2018.
Prior Publication US 2021/0287026 A1, Sep. 16, 2021
Int. Cl. G06K 9/00 (2022.01); G06F 18/211 (2023.01); G06F 18/25 (2023.01); G06V 10/80 (2022.01); G06V 40/16 (2022.01); G06V 40/18 (2022.01); G06V 40/40 (2022.01)
CPC G06V 40/168 (2022.01) [G06F 18/211 (2023.01); G06F 18/251 (2023.01); G06F 18/253 (2023.01); G06V 10/803 (2022.01); G06V 40/193 (2022.01); G06V 40/45 (2022.01); G06V 40/161 (2022.01)] 20 Claims
OG exemplary drawing
 
1. A mobile device comprising:
one or more sensors configured to acquire a first image and a second image;
a memory configured to store a plurality of machine learning liveness detection models, wherein each of the plurality of machine learning liveness detection models are pretrained to determine whether a corresponding object, within a corresponding one or more images, is a live or non-live corresponding object; and
a processor configured to:
select multiple machine learning liveness detection models, from among the plurality of machine learning liveness detection models, based on respective analyses of the first image and/or the second image; and
determine, using the selected multiple machine learning liveness detection models, whether an object is a live object or a non-live object based on the first image and/or the second image.