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Volumn , Issue , 2008, Pages 277-280

IRIS recognition performance enhancement using weighted majority voting

Author keywords

Biometrics; Iris recognition; Weighted majority voting

Indexed keywords

BIOMETRIC AUTHENTICATION; BIOMETRIC AUTHENTICATION SYSTEM; BIOMETRIC TEMPLATE; IDEAL IMAGES; IMAGING CONDITIONS; IRIS IMAGES; IRIS RECOGNITION; IRIS RECOGNITION SYSTEMS; IRIS SCANNING; MAJORITY VOTING; SELECTION TECHNIQUES; WEIGHTED MAJORITY VOTING;

EID: 69949186406     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2008.4711745     Document Type: Conference Paper
Times cited : (34)

References (16)
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  • 6
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    • Libor Masek, Recognition of human iris patterns for biometric identification, Tech. Rep., The School of Computer Science and Software Engineering, The University of Western Australia, 2003, http://www.csse.uwa.edu. au/~pk/studentprojects/libor/index.html.
    • Libor Masek, "Recognition of human iris patterns for biometric identification," Tech. Rep., The School of Computer Science and Software Engineering, The University of Western Australia, 2003, http://www.csse.uwa.edu. au/~pk/studentprojects/libor/index.html.
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  • 14
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    • P. J. Phillips, K. W. Bowyer, and P. J. Flynn, Comments on the CASIA version 1.0 iris data set, IEEE Trans. Pattern Analysis and Machine Intelligence, 29, no. 10, pp. 1869-1870, Oct. 2007
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.