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Learning confidence transformation for handwritten Chinese text recognition

文献类型：期刊论文

作者Wang, Da-Han1; Liu, Cheng-Lin2
刊名INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION
出版日期2014-09-01
卷号17期号:3页码:205-219
关键词Handwritten text recognition Confidence learning Parametric and nonparametric Class-dependent and class-independent String-level learning
英文摘要Handwritten text recognition systems commonly combine character classification confidence scores and context models for evaluating candidate segmentation-recognition paths, and the classification confidence is usually optimized at character level. In this paper, we investigate into different confidence-learning methods for handwritten Chinese text recognition and propose a string-level confidence-learning method, which estimates confidence parameters by directly optimizing the performance of character string recognition. We first compare the performances of parametric (class-dependent and class-independent parameters) and nonparametric (isotonic regression) confidence-learning methods. Then, we propose two regularized confidence estimation methods and particularly, a string-level confidence-learning method under the minimum classification error criterion. In experiments of online handwritten Chinese text recognition, the string-level confidence-learning method is shown to effectively improve the string recognition performance. Using three character classifiers, the character correct rates are improved from 92.39, 90.24 and 88.69 % to 92.76, 90.91 and 89.93 %, respectively.
WOS标题词Science & Technology ; Technology
类目[WOS]Computer Science, Artificial Intelligence
研究领域[WOS]Computer Science
关键词[WOS]CHARACTER-RECOGNITION ; SPEECH RECOGNITION ; CLASSIFIER COMBINATION ; SEGMENTATION
收录类别SCI
语种英语
WOS记录号WOS:000340610000001
源URL[http://ir.ia.ac.cn/handle/173211/3077]  
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1.Xiamen Univ, Sch Informat Sci & Engn, Ctr Pattern Anal & Machine Intelligence, Xiamen 361005, Fujian, Peoples R China
2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714		 Wang, Da-Han,Liu, Cheng-Lin. Learning confidence transformation for handwritten Chinese text recognition[J]. INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION,2014,17(3):205-219.
APA Wang, Da-Han,&Liu, Cheng-Lin.(2014).Learning confidence transformation for handwritten Chinese text recognition.INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION,17(3),205-219.
MLA Wang, Da-Han,et al."Learning confidence transformation for handwritten Chinese text recognition".INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION 17.3(2014):205-219.

入库方式： OAI收割

来源：自动化研究所

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