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Writer identification using dynamic features
Yu, K; Wang, YH; Tan, TN; Zhang, D; Jain, AK
2004
发表期刊BIOMETRIC AUTHENTICATION, PROCEEDINGS
卷号3072页码:512-518
文章类型Article
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
关键词[WOS]ROBOT ARM
收录类别ISTP ; SCI
语种英语
WOS研究方向Computer Science ; Imaging Science & Photographic Technology
WOS类目Computer Science, Artificial Intelligence ; Computer Science, Theory & Methods ; Imaging Science & Photographic Technology
WOS记录号WOS:000222868800070
引用统计
被引频次:11[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/173211/9025
专题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
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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.
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