An evaluation of statistical methods in handwritten hangul recognition

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 模式分析与学习

	An evaluation of statistical methods in handwritten hangul recognition
	Park, Gyu-Ro 1; Kim, In-Jung 1; Liu, Cheng-Lin2
发表期刊	INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION
	2013-09-01
卷号	16 期号:3 页码:273-283
文章类型	Article
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.
关键词	Handwritten Hangul Recognition Statistical Methods Character Normalization Feature Extraction Classification
WOS标题词	Science & Technology ; Technology
关键词[WOS]	CHINESE CHARACTER-RECOGNITION ; SHAPE NORMALIZATION METHODS ; FEATURE-EXTRACTION
收录类别	SCI
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence
WOS记录号	WOS:000323431700005
引用统计	被引频次：4[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/3079
专题	多模态人工智能系统全国重点实验室_模式分析与学习
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.