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Personal identification based on handwriting

文献类型:期刊论文

作者Said, HES; Tan, TN; Baker, KD
刊名PATTERN RECOGNITION
出版日期2000
卷号33期号:1页码:149-160
关键词personal identification writer identification texture analysis Gabor filters handwriting processing document image processing
英文摘要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.
WOS标题词Science & Technology ; Technology
类目[WOS]Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
研究领域[WOS]Computer Science ; Engineering
关键词[WOS]TEXTURE ; VERIFICATION
收录类别SCI
语种英语
WOS记录号WOS:000083703300012
公开日期2015-12-24
源URL[http://ir.ia.ac.cn/handle/173211/9809]  
专题自动化研究所_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.

入库方式: OAI收割

来源:自动化研究所

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