Text Recognition in Natural Scenes: A Review
Xiaoqian Li1,2; Jie Liu3; Shuwu Zhang1
2020-07
会议名称International Conference on Culture-oriented Science & Technology
会议日期2020-10
会议地点Beijing
摘要

Abstract—Text is an important clue of visual recognition, and character recognition in natural scenes is one of the main research directions of computer vision. However, due to the similarity of characters, various styles, blurred images, complex background, uneven illumination, etc., there are still great difficulties to text recognition. In recent years, with the vigorous development of deep learning, text recognition has achieved promising performance. This paper first summarizes the challenges in text recognition; secondly, it introduces the state-of-the-art text recognition methods based on CTC and attention mechanism; finally, this paper also presents insights into potential research directions of text recognition. In summary, this literature review attempts to present the recent picture in the field of scene text recognition. It provides a reference for people entering this field and may help inspire future research.

 

七大方向——子方向分类人工智能+文化
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/45008
专题数字内容技术与服务研究中心_版权智能与文化计算
作者单位1.Institute of Automation, Chinese Academy of Sciences
2.School of Artificial Intelligence, University of Chinese Academy of Sciences
3.Beijing Digital Content Research Center
第一作者单位中国科学院自动化研究所
推荐引用方式
GB/T 7714
Xiaoqian Li,Jie Liu,Shuwu Zhang. Text Recognition in Natural Scenes: A Review[C],2020.
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