Complex Text Detection Algorithm Based on Edge Attention Mechanism
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Published:2023-08-24
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Volume:
Page:
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ISSN:0218-1266
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Container-title:Journal of Circuits, Systems and Computers
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language:en
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Short-container-title:J CIRCUIT SYST COMP
Author:
Cui Shaoguo1,
Chen Xi1ORCID,
Mou Zhenping1,
Xie Zheng1,
Sun Yisha1,
Li Dongchun1
Affiliation:
1. College of Computer and Information Science, Chongqing Normal University, Chongqing, 401331, P. R. China
Abstract
In computer vision, automatically identifying and locating text in images or videos is an important task. Traditional text detection methods are not effective in detecting complex scenes in irregular rectangular areas such as text bending, spacing, and special shapes, which are mainly reflected in the fragmentation of text detection areas. In this paper, a text detection method based on edge attention mechanism is proposed to better adapt to complex scenes. The proposed method takes Encoder–Decoder as the core idea. First of all, an edge attention module is designed, including global attention and local attention. The global attention module is used to perceive the features of text regions and nontext regions, while the local attention module is used to learn the information of text boundaries. Then a multi-scale feature fusion process is designed, which can strengthen the edge information and key information of text regions. Finally, the model outputs probability maps and threshold maps, and generates high-precision binary maps of text regions. After experimental verification, the proposed method on the public data set significantly reduces the fragmentation of the detection area, improves the detection accuracy of the text area, and has better robustness for text detection scenes with unconventional rectangular areas.
Funder
National Natural Science Foundation of China
Natural Science Foundation Project of Chongqing Science and Technology Bureau
Technology Foresight and System Innovation Project of Chongqing Municipal Science and Technology Bureau
Humanities and Social Sciences Planning Fund of Ministry of Education of the People’s Republic of China
Key Science and Technology Research Program of Chongqing Municipal Education Commission
Social Science Planning Project of Chongqing Federation of Social Sciences
Humanities and Social Sciences Project of Chongqing Municipal Education Commission
Talents Fund Project of Chongqing Normal University
Publisher
World Scientific Pub Co Pte Ltd
Subject
Electrical and Electronic Engineering,Hardware and Architecture,Electrical and Electronic Engineering,Hardware and Architecture