Personal identification based on handwriting
文献类型:期刊论文
作者 | Said, HES; Tan, TN![]() |
刊名 | PATTERN RECOGNITION
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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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