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Text recognition technology for natural scenes

Published: 28 September 2021 Publication History
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References

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Zou Beiji, Yang Wenjun, Liu Shu, Jiang Lingzi. A three-stage text recognition frameworkwork for natural scene images[J]. Journal of Zhejiang University (Science Edition), 2021, 48(01): 1-8.
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He Liuyi, Yang Guowei. A recognition system for text images with uneven illumination based on deep learning [J]. Computer Applications and Software, 2020, 37(06): 184-217.
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Zhao Fan, Zhang Lin, Wen Zhiquan, Yang Linlin, Lin Guangfeng. A direct and efficient approach to positioning Chinese characters in natural scenes[J]. Computer Engineering and Applications, 2021, 57(06): 159-167.
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Wang Maosen, Jiang Xiaosen, Niu Shaozhang. A new scene text recognition model[J]. Journal of Beijing Institute of Technology, 2019, 39(03): 269-275.
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Zhengchao Lei,Sanyuan Zhao,Hongmei Song,Jianbing Shen. Scene text recognition using residual convolutional recurrent neural network[J]. Machine Vision and Applications,2018,29(5).
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Li Hao, Wang Shan, Geng Yujie, Wang Li, Sun Wenchang, Miao Chunyuan. Wiring diagram detection and verification based on deep learning and graph matching[J]. Journal of Beijing University of Aeronautics and Astronautics, 2021, 47(03) :539-548.
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Tian Zhi,Huang Weilin,He Tong,et al. Detecting text in natural image with connectionist text proposal net-work[C]//European Conference on Computer Vision.Berlin:Springer,2016:56-72.
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Bai Xiang, Yang Mingkun, Shi Baoguang, Liao Minghui. Scene text detection and recognition based on deep learning[J]. Science in China: Information Science, 2018, 48(05): 531-544.
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DSIT 2021: 2021 4th International Conference on Data Science and Information Technology
July 2021
481 pages
ISBN:9781450390248
DOI:10.1145/3478905
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 28 September 2021

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  1. natural scene,scene text detection,scene text recognition,end-to-end text recognition

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DSIT 2021

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Overall Acceptance Rate 114 of 277 submissions, 41%

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