CASIA OpenIR  > 09年以前成果
Writer identification using dynamic features
Yu, K; Wang, YH; Tan, TN; Zhang, D; Jain, AK
AbstractAutomatic 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 HeadingsScience & Technology ; Technology
Indexed ByISTP ; SCI
WOS Research AreaComputer Science ; Imaging Science & Photographic Technology
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Theory & Methods ; Imaging Science & Photographic Technology
WOS IDWOS:000222868800070
Citation statistics
Cited Times:11[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
AffiliationChinese Acad Sci, Inst Automat, NLPR, Ctr Biometr Authenticat & Testing, Beijing 100080, Peoples R China
Recommended Citation
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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