Personal identification based on handwriting

CASIA OpenIR > 09年以前成果

	Personal identification based on handwriting
	Said, HES ; Tan, TN; Baker, KD
发表期刊	PATTERN RECOGNITION
	2000
卷号	33 期号:1 页码:149-160
文章类型	Article
摘要	Many techniques have been reported for handwriting-based writer identification. The majority of techniques assume that the written text is fixed (e.g., in signature verification). In this paper we attempt to eliminate this assumption by presenting a novel algorithm for automatic text-independent writer identification. Given that the handwriting of different people is often visually distinctive, we take a global approach based on texture analysis, where each writer's handwriting is regarded as a different texture. In principle, this allows us to apply any standard texture recognition algorithm for the task (e.g., the multi-channel Gabor filtering technique). Results of 96.0% accuracy on the classification of 1000 test documents from 40 writers are very promising. The method is shown to be robust to noise and contents. (C) 1999 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved.
关键词	Personal Identification Writer Identification Texture Analysis Gabor Filters Handwriting Processing Document Image Processing
WOS标题词	Science & Technology ; Technology
关键词[WOS]	TEXTURE ; VERIFICATION
收录类别	SCI
语种	英语
WOS研究方向	Computer Science ; Engineering
WOS类目	Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS记录号	WOS:000083703300012
引用统计	被引频次：204[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/173211/9809
专题	09年以前成果
作者单位	1.Univ Reading, Dept Comp Sci, Reading RG6 6AY, Berks, England 2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Said, HES,Tan, TN,Baker, KD. Personal identification based on handwriting[J]. PATTERN RECOGNITION,2000,33(1):149-160.
APA	Said, HES,Tan, TN,&Baker, KD.(2000).Personal identification based on handwriting.PATTERN RECOGNITION,33(1),149-160.
MLA	Said, HES,et al."Personal identification based on handwriting".PATTERN RECOGNITION 33.1(2000):149-160.