Transcript mapping for handwritten Chinese documents by integrating character recognition model and geometric context
文献类型：期刊论文
| 作者 | Yin, Fei ; Wang, Qiu-Feng; Liu, Cheng-Lin
|
| 刊名 | PATTERN RECOGNITION
 |
| 出版日期 | 2013-10-01 |
| 卷号 | 46期号:10页码:2807-2818 |
| 关键词 | Transcript mapping Minimum classification error (MCE) Dynamic time warping (DTW) Confidence transformation (CT) Geometric context |
| 英文摘要 | Creating document image datasets with ground-truths of regions, text lines and characters is a prerequisite for document analysis research. However, ground-truthing large datasets is not only laborious and time consuming but also prone to errors due to the difficulty of character segmentation and the large variability of character shape, size and position. This paper describes an effective recognition-based annotation approach for ground-truthing handwritten Chinese documents. Under the Bayesian framework, the alignment of text line images with text transcript, which is the crucial step of annotation, is formulated as an optimization problem by incorporating geometric context of characters and character recognition model. We evaluated the alignment performance on a Chinese handwriting database CASIA-HWDB, which contains nearly four million character samples of 7356 classes and 5091 pages of unconstrained handwritten texts. The experimental results demonstrate the superiority of recognition-based text line alignment and the benefit of integrating geometric context. On a test set of 1015 handwritten pages (10,449 text lines), the proposed approach achieved character level alignment accuracy 92.32% when involving under-segmentation errors and 99.04% when excluding under-segmentation errors. The tool based on the proposed approach has been practically used for labeling handwritten Chinese documents. (C) 2013 Elsevier Ltd. All rights reserved. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic |
| 研究领域[WOS] | Computer Science ; Engineering |
| 关键词[WOS] | TEXT LINE ; SEGMENTATION ; ONLINE ; METHODOLOGY |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000320477400016 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/3089]  |
| 专题 | 自动化研究所_模式识别国家重点实验室_模式分析与学习团队 |
| 作者单位 | Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yin, Fei,Wang, Qiu-Feng,Liu, Cheng-Lin. Transcript mapping for handwritten Chinese documents by integrating character recognition model and geometric context[J]. PATTERN RECOGNITION,2013,46(10):2807-2818. |
| APA | Yin, Fei,Wang, Qiu-Feng,&Liu, Cheng-Lin.(2013).Transcript mapping for handwritten Chinese documents by integrating character recognition model and geometric context.PATTERN RECOGNITION,46(10),2807-2818. |
| MLA | Yin, Fei,et al."Transcript mapping for handwritten Chinese documents by integrating character recognition model and geometric context".PATTERN RECOGNITION 46.10(2013):2807-2818. |
入库方式： OAI收割
来源：自动化研究所
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