中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Writer identification using dynamic features

文献类型:期刊论文

作者Yu, K; Wang, YH; Tan, TN; Zhang, D; Jain, AK
刊名BIOMETRIC AUTHENTICATION, PROCEEDINGS
出版日期2004
卷号3072页码:512-518
英文摘要Automatic handwriting identification is an interesting research topic in the community of biometrics, In this paper, we propose a new approach to writer identification based on dynamic features, namely the features associated with gestures and movements of the writers during writing. The feature vectors defined here are mainly extracted from the writing pressure, velocity and pen inclination, whose components are selected according to respective reliability. Experimental results demonstrate that the proposed algorithm performs well, especially in tackling the degraded documents with little loss of accuracy.
WOS标题词Science & Technology ; Technology
类目[WOS]Computer Science, Artificial Intelligence ; Computer Science, Theory & Methods ; Imaging Science & Photographic Technology
研究领域[WOS]Computer Science ; Imaging Science & Photographic Technology
关键词[WOS]ROBOT ARM
收录类别ISTP ; SCI
语种英语
WOS记录号WOS:000222868800070
公开日期2015-12-24
源URL[http://ir.ia.ac.cn/handle/173211/9025]  
专题自动化研究所_09年以前成果
作者单位Chinese Acad Sci, Inst Automat, NLPR, Ctr Biometr Authenticat & Testing, Beijing 100080, Peoples R China
推荐引用方式
GB/T 7714
Yu, K,Wang, YH,Tan, TN,et al. Writer identification using dynamic features[J]. BIOMETRIC AUTHENTICATION, PROCEEDINGS,2004,3072:512-518.
APA Yu, K,Wang, YH,Tan, TN,Zhang, D,&Jain, AK.(2004).Writer identification using dynamic features.BIOMETRIC AUTHENTICATION, PROCEEDINGS,3072,512-518.
MLA Yu, K,et al."Writer identification using dynamic features".BIOMETRIC AUTHENTICATION, PROCEEDINGS 3072(2004):512-518.

入库方式: OAI收割

来源:自动化研究所

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