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最新的计算机身份识别技术——虹膜识别 被引量:3

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摘要 本文论述了虹膜识别技术的优势,分析了虹膜识别技术的发展前景。
作者 刘畅 刘方
出处 《现代情报》 2002年第3期108-108,47,共2页 Journal of Modern Information
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同被引文献22

  • 1王睿,刘本永.一个快速有效的虹膜定位算法[J].信号处理,2005,21(z1):305-307. 被引量:1
  • 2DAUGMAN J.High confidence visual recognition of persons by a text of statistical independence[J].IEEE Transactions Pattern Anal Machine Intelligence,1993,15(11):1148-1161.
  • 3Gifford M M, Moeartney D J, Seal C H. Networked Biometrics Systems [J].BT Technology Journal, 1999, 17 (2): 163- 169.
  • 4John D. High confidence visual recognition of person by test of statistical independence [J]. Proc IEEETrans, 1993, 15(11) :1 148-1 161.
  • 5Wildes R P. Iris recognition: an emerging biometric technology [J]. Proc IEEE, 1997,85(9):1 348-1 363.
  • 6Boles W W, Boashash. A human identification technique using images of the iris and wavelet transform [J].IEEE Trans on signal processing, 1998,46(4) : 1 185- 1 188.
  • 7Tisse C, Marrtin L,Torres,Robert M. Personal identification technique using human iris recognition [R]. Proceedings of the 15^th international conference on vision Interface, 2002 : 294- 299.
  • 8Lim S, Lee K,Byeon O, Kim T. Efficient iris recognition through improvement of feature vector and classifier [J]. ETRIJ, 2001,23(2) : 1-70.
  • 9Park C, Lee J, Smith M, Park K. Iris based personal authentication using normalized directional energy feature [R]. Proceedings of the 4^th International Conference on Audio-and Video-based biometric Person Authentication, 2003:224-232.
  • 10Ma L,Wang Y,Tan T. Iris recognition based on multichannel Gabor filtering JR]. Proceedings of the 5^th Asian conference on Computer Vision, 2002,1 : 279- 283.

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