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Handwritten Chinese Text Recognition by Integrating Multiple Contexts

文献类型：期刊论文

作者Wang, Qiu-Feng; Yin, Fei; Liu, Cheng-Lin
刊名IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
出版日期2012-08-01
卷号34期号:8页码:1469-1481
关键词Handwritten Chinese text recognition confidence transformation geometric models language models refined beam search candidate character augmentation maximum character accuracy training
英文摘要This paper presents an effective approach for the offline recognition of unconstrained handwritten Chinese texts. Under the general integrated segmentation-and-recognition framework with character oversegmentation, we investigate three important issues: candidate path evaluation, path search, and parameter estimation. For path evaluation, we combine multiple contexts (character recognition scores, geometric and linguistic contexts) from the Bayesian decision view, and convert the classifier outputs to posterior probabilities via confidence transformation. In path search, we use a refined beam search algorithm to improve the search efficiency and, meanwhile, use a candidate character augmentation strategy to improve the recognition accuracy. The combining weights of the path evaluation function are optimized by supervised learning using a Maximum Character Accuracy criterion. We evaluated the recognition performance on a Chinese handwriting database CASIA-HWDB, which contains nearly four million character samples of 7,356 classes and 5,091 pages of unconstrained handwritten texts. The experimental results show that confidence transformation and combining multiple contexts improve the text line recognition performance significantly. On a test set of 1,015 handwritten pages, the proposed approach achieved character-level accurate rate of 90.75 percent and correct rate of 91.39 percent, which are superior by far to the best results reported in the literature.
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]POST-PROCESSING SYSTEM ; CHARACTER-RECOGNITION ; CLASSIFIER COMBINATION ; OFFLINE RECOGNITION ; SCRIPT RECOGNITION ; SEGMENTATION ; MODEL ; ALGORITHMS ; STRINGS
收录类别SCI
语种英语
WOS记录号WOS:000305188500002
源URL[http://ir.ia.ac.cn/handle/173211/3073]  
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, Natl Lab Pattern Recognit, Inst Automat, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714		 Wang, Qiu-Feng,Yin, Fei,Liu, Cheng-Lin. Handwritten Chinese Text Recognition by Integrating Multiple Contexts[J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE,2012,34(8):1469-1481.
APA Wang, Qiu-Feng,Yin, Fei,&Liu, Cheng-Lin.(2012).Handwritten Chinese Text Recognition by Integrating Multiple Contexts.IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE,34(8),1469-1481.
MLA Wang, Qiu-Feng,et al."Handwritten Chinese Text Recognition by Integrating Multiple Contexts".IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 34.8(2012):1469-1481.

入库方式： OAI收割

来源：自动化研究所

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