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Volumn 5024 LNCS, Issue , 2008, Pages 114-121

User identification based on handwritten signatures with haptic information

Author keywords

Authentication; Biometrics; Haptics; Identification; Neural Networks

Indexed keywords

BIOMETRICS; NETWORK PROTOCOLS; SENSOR NETWORKS; VEGETATION;

EID: 54249122575     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-69057-3_12     Document Type: Conference Paper
Times cited : (12)

References (16)
  • 2
    • 0025384135 scopus 로고
    • Identify Authentication based on Keystroke Latencies
    • Joyce, R., Gupta, G.: Identify Authentication based on Keystroke Latencies. Communications of the ACM 33(2), 168-176 (1990)
    • (1990) Communications of the ACM , vol.33 , Issue.2 , pp. 168-176
    • Joyce, R.1    Gupta, G.2
  • 4
    • 54249118015 scopus 로고    scopus 로고
    • January
    • Site Accessed (January 2008), http://www.sensable.com/haptic-phantom- omni.htm
    • (2008)
    • Accessed, S.1
  • 15
    • 11144273669 scopus 로고
    • The perceptron: A probabilistic model for information storage and organization in the brain
    • Rosenblatt, F.: The perceptron: A probabilistic model for information storage and organization in the brain. Psychological Review 65, 386-408 (1958)
    • (1958) Psychological Review , vol.65 , pp. 386-408
    • Rosenblatt, F.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.