首页 | 本学科首页   官方微博 | 高级检索  
     

深度学习在场景文字识别技术中的应用综述
引用本文:刘艳菊,伊鑫海,李炎阁,张惠玉,刘彦忠. 深度学习在场景文字识别技术中的应用综述[J]. 计算机工程与应用, 2022, 58(4): 52-63. DOI: 10.3778/j.issn.1002-8331.2106-0411
作者姓名:刘艳菊  伊鑫海  李炎阁  张惠玉  刘彦忠
作者单位:1.南京特殊教育师范学院 数学与信息科学学院,南京 2100382.齐齐哈尔大学 计算机与控制工程学院,黑龙江 齐齐哈尔 161000
基金项目:国家自然科学基金青年基金项目(61403222);黑龙江省教育厅基本科研业务费科研项目(135309466)。
摘    要:随着深度学习技术在计算机视觉领域的发展,场景文本检测与文字识别技术也有了突破性的进展.受到自然场景下极端光照、遮挡、模糊、多方向多尺度等情况的影响,无约束的场景文本检测与识别仍然面临着巨大的挑战.从深度学习的角度对场景文本检测和文字识别技术进行深入研究,总结出在文本检测技术中将基于分割的方法与回归的方法优势相结合,可以...

关 键 词:深度学习  计算机视觉  自然场景  文本检测  文字识别

Application of Scene Text Recognition Technology Based on Deep Learning:A Survey
LIU Yanju,YI Xinhai,LI Yange,ZHANG Huiyu,LIU Yanzhong. Application of Scene Text Recognition Technology Based on Deep Learning:A Survey[J]. Computer Engineering and Applications, 2022, 58(4): 52-63. DOI: 10.3778/j.issn.1002-8331.2106-0411
Authors:LIU Yanju  YI Xinhai  LI Yange  ZHANG Huiyu  LIU Yanzhong
Affiliation:1.School of Mathematics and Information Science, Nanjing Normal University of Special Education, Nanjing 210038, China2.School of Computer and Control Engineering, Qiqihar University, Qiqihar, Heilongjiang 161000, China
Abstract:With the development of deep learning technology in the field of computer vision, there are breakthroughs in scene text detection and text recognition technology. Affected by extreme lighting, occlusion, blur, multi-direction and multi-scale in natural scenes, there are still huge challenges facing unconstrained scene text detection and recognition. In this paper, the scene text detection and text recognition technology are studied deeply from the perspective of deep learning, and the method and regression based on segmentation in the text detection technology are summarized. The combination of the advantages of the method can solve the problem of low recall rate of small text areas, while adapting to multi-scale text. Through the combination of the CTC mechanism and the Attention mechanism in the text recognition method, mutual supervision can be achieved, the recognition performance is improved, and the error rate of long text recognition is reduced.
Keywords:deep learning  computer vision  natural scene  text detection  text recognition
本文献已被 维普 万方数据 等数据库收录!
点击此处可从《计算机工程与应用》浏览原始摘要信息
点击此处可从《计算机工程与应用》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号