Invention Grant
- Patent Title: Methods and systems for structured text detection, and non-transitory computer-readable medium
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Application No.: US16052584Application Date: 2018-08-01
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Publication No.: US10937166B2Publication Date: 2021-03-02
- Inventor: Donglai Xiang , Yan Xia
- Applicant: BEIJING SENSETIME TECHNOLOGY DEVELOPMENT CO., LTD
- Applicant Address: CN Beijing
- Assignee: BEIJING SENSETIME TECHNOLOGY DEVELOPMENT CO., LTD
- Current Assignee: BEIJING SENSETIME TECHNOLOGY DEVELOPMENT CO., LTD
- Current Assignee Address: CN Beijing
- Agency: Syncoda LLC
- Agent Feng Ma
- Priority: CN201610561355.7 20160715
- Main IPC: G06F40/279
- IPC: G06F40/279 ; G06K9/00 ; G06K9/46 ; G06K9/62 ; G06N3/08 ; G06T7/11 ; G06N3/04 ; G06F40/186 ; G06T7/70 ; G06N5/04 ; G06T3/40 ; G06T3/60

Abstract:
A method for structured text detection includes: receiving, by a convolutional neural network, a to-be-detected image and at least one character region template, the to-be-detected image includes structured text, the at least one character region template includes locations of N first character regions with N being an integer equal to or greater than 1, and the location of each first character region is obtained based on locations of second character regions corresponding to the each first character region in M sample images that are of the same type as the to-be-detected image, where M is an integer equal to or greater than 1; and obtaining, by the convolutional neural network, an actual location of the structured text in the to-be-detected image according to the at least one character region template. A system for structured detection and a non-transitory computer-readable medium are also provided.
Public/Granted literature
- US20180342061A1 METHODS AND SYSTEMS FOR STRUCTURED TEXT DETECTION, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM Public/Granted day:2018-11-29
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