公开(公告)号：US20210224568A1

公开(公告)日：2021-07-22

申请号：US17209987

申请日：2021-03-23

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

Inventor： Xiaoqiang Zhang ,  Pengyuan LV ,  Shanshan Liu ,  Chengquan Zhang

IPC: G06K9/32 ,  G06K9/34 ,  G06K9/62 ,  G06F40/284 ,  G06F40/205

Abstract: The present disclosure discloses a method and apparatus for recognizing a text. The method comprises: acquiring images of a text area of an input image, the acquired images including a text centerline graph, a text direction offset graph, a text boundary offset graph, and a text character classification graph; extracting coordinates of feature points of a character center from the text centerline graph; sorting the extracted coordinates of the feature points based on the text direction offset graph to obtain a coordinate sequence of the feature points; determining a polygonal bounding box of the text area based on the coordinate sequence of the feature points of the character center and the text boundary offset graph; and determining a classification result of the feature points of the character center, based on the coordinate sequence of the feature points of the character center and the text character classification graph.

公开(公告)号：US20210342621A1

公开(公告)日：2021-11-04

申请号：US17373378

申请日：2021-07-12

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

Inventor： Pengyuan LV ,  Chengquan Zhang

IPC: G06K9/34 ,  G06K9/32 ,  G06K9/62 ,  G06N3/08

Abstract: The disclosure provides a method and an apparatus for character recognition and processing. A character region is labelled for each character contained in each sample image of a sample image set. A character category and a character position code corresponding to each character region are labelled. A preset neural network model for character recognition is trained based on the sample image set having labelled character regions, character categories and character position codes corresponding to the character regions.

公开(公告)号：US20230290126A1

公开(公告)日：2023-09-14

申请号：US18115059

申请日：2023-02-28

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

Inventor： Pengyuan LV ,  Sen FAN ,  Chengquan ZHANG ,  Kun YAO ,  Junyu HAN ,  Jingtuo LIU ,  Errui DING ,  Jingdong WANG

IPC: G06V10/774 ,  G06V10/77 ,  G06V10/42 ,  G06V10/44 ,  G06V10/25

CPC classification number: G06V10/7747 ,  G06V10/25 ,  G06V10/42 ,  G06V10/44 ,  G06V10/7715 ,  G06V30/148

Abstract: Provided are a method for training a region of interest (ROI) detection model, a method for detecting an ROI, a device, and a medium. The specific implementation includes: performing feature extraction on a sample image to obtain a sample feature data; performing non-linear mapping on the sample feature data to obtain a first feature data and a second feature data; determining an inter-region difference data according to the second feature data and a third feature data of the first feature data in a region associated with a label ROI; and adjusting at least one of a to-be-trained feature extraction parameter and a to-be-trained feature enhancement parameter of the ROI detection model according to the inter-region difference data and the region associated with the label ROI.