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Volumn 14, Issue 9, 2001, Pages 1293-1305

Fingerprints classification using artificial neural networks: A combined structural and statistical approach

Author keywords

Block directional image; Characteristic strings; Euclidean Distance Measures (EDM); Fingerprints classification; Moments; Multilayer ANN; Subnetworks

Indexed keywords

ALGORITHMS; ARCHES; IMAGE QUALITY;

EID: 0034801232     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0893-6080(01)00086-7     Document Type: Article
Times cited : (60)

References (19)
  • 3
    • 0003418526 scopus 로고
    • The science of fingerprints: Classification and uses, Washington, DC: U.S. Government Printing Office
    • (1984)
  • 10
    • 0003469921 scopus 로고    scopus 로고
    • Leung, W. F., Leung, S. H., Lau, W. H., & Luk, A. (1991). Fingerprint recognition using artificial network, artificial networks for signal processing. Proceedings of the 1991 IEEE Workshop (pp. 227-235).
  • 16
    • 0003300799 scopus 로고    scopus 로고
    • Neto, H. V., & Borges, D. L. (1997). Fingerprint classification with artificial networks. Proceedings of the Fourth Brazelian Symposium on Artificial Networks (pp. 66-72).
  • 17
    • 0003364924 scopus 로고    scopus 로고
    • Senior, A. (1997). Hidden Markov model fingerprint classifier. Proceedings of the 31ST Asilomar Conference on Signals, Systems and Computers, Part 1 (of 2) (pp. 306-310). Pacific Grove, CA, USA.
  • 18
    • 0041532609 scopus 로고
    • Automatic fingerprint identification and classification analysis via contextual analysis and topological coding
    • Pictorial pattern recognition, Thompson Book Company
    • (1968) , pp. 411-456
    • Tou, J.T.1    Hankley, W.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.