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Personal identification based on handwriting
Said, HES; Tan, TN; Baker, KD
2000
发表期刊PATTERN RECOGNITION
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:164[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
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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.
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