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Volumn 16, Issue 1, 2002, Pages 123-126

Biometric hash based on statistical features of online signatures

Author keywords

[No Author keywords available]

Indexed keywords

DATA COMMUNICATION SYSTEMS; ELECTRONIC DOCUMENT IDENTIFICATION SYSTEMS; ONLINE SYSTEMS; PERSONAL DIGITAL ASSISTANTS; STATISTICAL METHODS; DIGITAL STORAGE; NETWORK SECURITY; PATTERN RECOGNITION; PUBLIC KEY CRYPTOGRAPHY;

EID: 33751585800     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Article
Times cited : (149)

References (6)
  • 1
    • 0024861588 scopus 로고
    • Automatic signature verifictaion and writer identification - The state of the art
    • Pergamon Press plc.
    • R. Plamandon, G. Lorette, Automatic Signature Verifictaion and Writer Identification - the State of the Art, Pergamon Press plc., Pattern Recognition, 22, 2:107-131, 1989
    • (1989) Pattern Recognition , vol.22 , Issue.2 , pp. 107-131
    • Plamandon, R.1    Lorette, G.2
  • 3
    • 0020266097 scopus 로고
    • Online signature verification based on shape, motion and handwriting pressure
    • Munich
    • Y. Sato, K. Kogure, Online Signature Verification based on Shape, Motion and Handwriting Pressure, International Conference on Pattern Recognition (ICPR), 2:823-826, Munich, 1992
    • (1992) International Conference on Pattern Recognition (ICPR) , vol.2 , pp. 823-826
    • Sato, Y.1    Kogure, K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.