公开(公告)号：US20220262163A1

公开(公告)日：2022-08-18

申请号：US17737778

申请日：2022-05-05

Applicant: Beijing Baidu Netcom Science Technology Co., Ltd.

Inventor： Keyao WANG ,  Jie LU ,  Yunhao LI ,  Haixiao YUE ,  Haocheng FENG

IPC: G06V40/18 ,  G06V40/16 ,  G06V40/40 ,  G06V10/24 ,  G06V10/141

Abstract: A method of face anti-spoofing, a device and a storage medium are provided, which relate to a field of artificial intelligence, in particular to a computer vision and deep learning technology, and can be applied in a face recognition scene. The method includes: acquiring a face image sequence including a plurality of face images; acquiring, based on the face image sequence, a corresponding eye image sequence including a plurality of eye images; recognizing, based on the eye image sequence, a color of an optical spot caused by a pupil in each eye image, so as to obtain a pupil color recognition result; and determining a face anti-spoofing result by using the face image in the face image sequence, in response to the pupil color recognition result indicating that the face image sequence is a sequence of face images captured on site after a face recognition process is started.

公开(公告)号：US20230050079A1

公开(公告)日：2023-02-16

申请号：US17974630

申请日：2022-10-27

Applicant: BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.

Inventor： Pengyuan LV ,  Xiaoyan WANG ,  Liang WU ,  Shanshan LIU ,  Yuechen YU ,  Meina QIAO ,  Jie LU ,  Chengquan ZHANG ,  Kun YAO

IPC: G06V30/18 ,  G06V30/148

Abstract: Provided are a text recognition method, an electronic device, and a non-transitory computer-readable storage medium, which are applicable in an OCR scenario. In the particular solution, a text image to be recognized is acquired. Feature extraction is performed on the text image, to obtain an image feature corresponding to the text image, where a height-wise feature and a width-wise feature of the image feature each have a dimension greater than 1. According to the image feature, sampling features corresponding to multiple sampling points in the text image are determined. According to the sampling features corresponding to the multiple sampling points, a character recognition result corresponding to the text image is determined.