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An evaluation of statistical methods in handwritten hangul recognition

文献类型：期刊论文

作者Park, Gyu-Ro1; Kim, In-Jung1; Liu, Cheng-Lin2
刊名INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION
出版日期2013-09-01
卷号16期号:3页码:273-283
关键词Handwritten hangul recognition Statistical methods Character normalization Feature extraction Classification
英文摘要Although structural approaches have shown better performance than statistical ones in handwritten Hangul recognition (HHR), they have not been widely used in practical applications because of their vulnerability to image degradation and high computational complexity. Statistical approaches have not received high attention in HHR because their early trials were not promising enough. The past decade has seen significant improvements in statistical recognition in handwritten character recognition, including handwritten Chinese character recognition. Nevertheless, without a systematic evaluation on the effects of statistical methods in HHR, they cannot draw enough attention because of their discouraging experience. In this study, we comprehensively evaluate state-of-the-art statistical methods in HHR. Specifically, we implemented fifteen character normalization methods, five feature extraction methods, and four classification methods and evaluated their performances on two public handwritten Hangul databases. On the SERI database, statistical methods achieved the best performance of 93.71 % accuracy, which is higher than the best result achieved by structural recognizers. On the PE92 database, which has small number of samples per class, statistical methods gave slightly lower performance than the best structural recognizer.
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]CHINESE CHARACTER-RECOGNITION ; SHAPE NORMALIZATION METHODS ; FEATURE-EXTRACTION
收录类别SCI
语种英语
WOS记录号WOS:000323431700005
源URL[http://ir.ia.ac.cn/handle/173211/3079]  
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.Handong Global Univ, Sch CSEE, Pohang 791708, Gyeongbuk, South Korea
2.Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714		 Park, Gyu-Ro,Kim, In-Jung,Liu, Cheng-Lin. An evaluation of statistical methods in handwritten hangul recognition[J]. INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION,2013,16(3):273-283.
APA Park, Gyu-Ro,Kim, In-Jung,&Liu, Cheng-Lin.(2013).An evaluation of statistical methods in handwritten hangul recognition.INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION,16(3),273-283.
MLA Park, Gyu-Ro,et al."An evaluation of statistical methods in handwritten hangul recognition".INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION 16.3(2013):273-283.

入库方式： OAI收割

来源：自动化研究所

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