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DetectGAN: GAN-based text detector for camera-captured document images

文献类型：期刊论文

作者Zhao, Jinyuan1,2; Wang, Yanna2; Xiao, Baihua2; Shi, Cunzhao2; Jia, Fuxi2; Wang, Chunheng2
刊名INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION
出版日期2020-08-10
页码11
ISSN号1433-2833
关键词Text detection Camera-captured document images Multi-scale context features Generative adversarial networks
DOI10.1007/s10032-020-00358-w
通讯作者Zhao, Jinyuan(zhaojinyuan2016@ia.ac.cn)
英文摘要Nowadays, with the development of electronic devices, more and more attention has been paid to camera-based text processing. Different from scene image, the recognition system of document image needs to sort out the recognition results and store them in the structured document for the subsequent data processing. However, in document images, the fusion of text lines largely depends on their semantic information rather than just the distance between the characters, which causes the problem of learning confusion in training. At the same time, for multi-directional printed characters in document images, it is necessary to use additional directional information to guide subsequent recognition tasks. In order to avoid learning confusion and get recognition-friendly detection results, we propose a character-level text detection framework, DetectGAN, based on the conditional generative adversarial networks (abbreviation cGAN used in the text). In the proposed framework, position regression and NMS process are removed, and the problem of text detection is directly transformed into an image-to-image generation problem. Experimental results show that our method has an excellent effect on text detection of camera-captured document images and outperforms the classical and state-of-the-art algorithms.
WOS关键词SEGMENTATION
资助项目National Natural Science Foundation of China (NSFC)[71621002] ; Key Programs of the Chinese Academy of Sciences[ZDBS-SSW-JSC003] ; Key Programs of the Chinese Academy of Sciences[ZDBS-SSW-JSC004] ; Key Programs of the Chinese Academy of Sciences[ZDBS-SSW-JSC005]
WOS研究方向Computer Science
语种英语
出版者SPRINGER HEIDELBERG
WOS记录号WOS:000558134800001
资助机构National Natural Science Foundation of China (NSFC) ; Key Programs of the Chinese Academy of Sciences
源URL[http://ir.ia.ac.cn/handle/173211/40434]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_影像分析与机器视觉团队
通讯作者Zhao, Jinyuan
作者单位1.Univ Chinese Acad Sci UCAS, 19 A Yuquan Rd, Beijing 100049, Peoples R China
2.Chinese Acad Sci CASIA, Inst Automat, 95 Zhongguancun East Rd, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714		 Zhao, Jinyuan,Wang, Yanna,Xiao, Baihua,et al. DetectGAN: GAN-based text detector for camera-captured document images[J]. INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION,2020:11.
APA Zhao, Jinyuan,Wang, Yanna,Xiao, Baihua,Shi, Cunzhao,Jia, Fuxi,&Wang, Chunheng.(2020).DetectGAN: GAN-based text detector for camera-captured document images.INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION,11.
MLA Zhao, Jinyuan,et al."DetectGAN: GAN-based text detector for camera-captured document images".INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION (2020):11.

入库方式： OAI收割

来源：自动化研究所

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