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Volumn , Issue , 2003, Pages 100-103

Using similarity scores from a small gallery to estimate recognition performance for larger galleries

Author keywords

[No Author keywords available]

Indexed keywords

BIOMETRICS;

EID: 85043831944     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (26)

References (6)
  • 1
    • 0036487317 scopus 로고    scopus 로고
    • The importance of being random: Statistical principals of iris recognition
    • 203
    • J. Daugman. The importance of being random: statistical principals of iris recognition. Pattern Recognition, 36(2):279-291, 203.
    • Pattern Recognition , vol.36 , Issue.2 , pp. 279-291
    • Daugman, J.1
  • 4
    • 0035222897 scopus 로고    scopus 로고
    • Computational and performance aspects of PCA-based face-recognition algorithms
    • H. Moon and P. J. Phillips. Computational and performance aspects of pca-based face-recognition algorithms. In Perception, 30(3):303-321, 2001.
    • (2001) Perception , vol.30 , Issue.3 , pp. 303-321
    • Moon, H.1    Phillips, P.J.2
  • 6
    • 0033098544 scopus 로고    scopus 로고
    • Error-rate equations for the general biometric system
    • J. L. Wayman. Error-rate equations for the general biometric system. IEEE Robotics & Automation Magaizine, 6(1):35-48, 1999.
    • (1999) IEEE Robotics & Automation Magaizine , vol.6 , Issue.1 , pp. 35-48
    • Wayman, J.L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.