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Volumn 3687, Issue PART II, 2005, Pages 120-126

An efficient iris segmentation method for recognition

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; BOUNDARY CONDITIONS; FACE RECOGNITION; ONLINE SEARCHING; SENSITIVITY ANALYSIS; THEOREM PROVING; IMAGE SEGMENTATION; RUBBER;

EID: 27244443806     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/11552499_14     Document Type: Conference Paper
Times cited : (14)

References (9)
  • 1
    • 0027700869 scopus 로고
    • High confidence visual recognition of persons by a test of statistical independence
    • J. G. Daugman. High Confidence Visual Recognition of persons by a Test of Statistical Independence, IEEE Transaction on Pattern Analysis and Machine Intelligence, 15(11),(1993) 1148-1160
    • (1993) IEEE Transaction on Pattern Analysis and Machine Intelligence , vol.15 , Issue.11 , pp. 1148-1160
    • Daugman, J.G.1
  • 2
    • 0036487317 scopus 로고    scopus 로고
    • The importance of being random: Statistical principles of iris recognition
    • J.G. Daugman. The importance of being random: Statistical principles of iris recognition. Pattern Recognition,36(2), (2003) 279-291
    • (2003) Pattern Recognition , vol.36 , Issue.2 , pp. 279-291
    • Daugman, J.G.1
  • 4
    • 0031236835 scopus 로고    scopus 로고
    • Iris recognition: An emerging biometric technology
    • R.Wildes. Iris recognition: An emerging biometric technology. Proceedings of the IEEE, 85(9), (1997) 1348-1363
    • (1997) Proceedings of the IEEE , vol.85 , Issue.9 , pp. 1348-1363
    • Wildes, R.1
  • 5
    • 2942628075 scopus 로고    scopus 로고
    • Efficient iris recognition by characterizing key local variations
    • L. Ma, T. Tan, Y. Wang, D. Zhang. Efficient iris recognition by characterizing key local variations. IEEE Transactions on Image Processing, 13(6),(2004) 739-750
    • (2004) IEEE Transactions on Image Processing , vol.13 , Issue.6 , pp. 739-750
    • Ma, L.1    Tan, T.2    Wang, Y.3    Zhang, D.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.