DetectGAN: GAN-based text detector for camera-captured document images | |
Zhao, Jinyuan1,2; Wang, Yanna1; Xiao, Baihua1; Shi, Cunzhao1; Jia, Fuxi1; Wang, Chunheng1 | |
发表期刊 | INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION |
ISSN | 1433-2833 |
2020-08-10 | |
卷号 | 23期号:4页码:267-277 |
产权排序 | 1 |
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. |
关键词 | Text detection Camera-captured document images Multi-scale context features Generative adversarial networks |
DOI | 10.1007/s10032-020-00358-w |
关键词[WOS] | SEGMENTATION |
收录类别 | SCI |
语种 | 英语 |
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] ; National Natural Science Foundation of China (NSFC)[71621002] ; 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-JSC003] ; Key Programs of the Chinese Academy of Sciences[ZDBS-SSW-JSC004] ; Key Programs of the Chinese Academy of Sciences[ZDBS-SSW-JSC004] ; Key Programs of the Chinese Academy of Sciences[ZDBS-SSW-JSC005] ; Key Programs of the Chinese Academy of Sciences[ZDBS-SSW-JSC005] |
项目资助者 | National Natural Science Foundation of China (NSFC) ; Key Programs of the Chinese Academy of Sciences |
WOS研究方向 | Computer Science |
WOS类目 | Computer Science, Artificial Intelligence |
WOS记录号 | WOS:000558134800001 |
出版者 | SPRINGER HEIDELBERG |
七大方向——子方向分类 | 文字识别与文档分析 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/40435 |
专题 | 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 |
通讯作者 | Xiao, Baihua |
作者单位 | 1.Chinese Acad Sci CASIA, Inst Automat, 95 Zhongguancun East Rd, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci UCAS, 19 A Yuquan Rd, Beijing 100049, Peoples R China |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
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,2020,23(4):267-277. |
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,23(4),267-277. |
MLA | Zhao, Jinyuan,et al."DetectGAN: GAN-based text detector for camera-captured document images".INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION 23.4(2020):267-277. |
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