US 11,989,272 B2
Human-machine verification method, device and storage medium
Yangyang Qin, Beijing (CN)
Assigned to BAIDU ONLINE NETWORK TECHNOLOGY (BEIJING) CO., LTD., Beijing (CN)
Appl. No. 17/437,971
Filed by BAIDU ONLINE NETWORK TECHNOLOGY (BEIJING) CO., LTD., Beijing (CN)
PCT Filed Nov. 24, 2020, PCT No. PCT/CN2020/131071
§ 371(c)(1), (2) Date Sep. 10, 2021,
PCT Pub. No. WO2022/000959, PCT Pub. Date Jan. 6, 2022.
Claims priority of application No. 202010600857.2 (CN), filed on Jun. 28, 2020.
Prior Publication US 2022/0350870 A1, Nov. 3, 2022
Int. Cl. G06F 21/32 (2013.01); G06F 3/01 (2006.01); G06V 10/764 (2022.01)
CPC G06F 21/32 (2013.01) [G06F 3/013 (2013.01); G06V 10/764 (2022.01)] 20 Claims
OG exemplary drawing
 
1. A human-machine verification method, comprising:
receiving an identity verification request sent by a requester, and collecting an eyeball gaze point track on an identity verification page; wherein the identity verification request comprises identity verification information;
identifying whether the identity verification information is correct based on pre-stored user identity information;
if the identity verification information is correct, performing classification based on the eyeball gaze point track on the identity verification page using a first classification model, and outputting a first probability value indicating whether the requester is a real person or a machine; and
determining based on the first probability value that the requester is the real person or the machine, and outputting an identity verification result indicating that identity verification is passed or fails.