The improved characteristics of bionic gabor representations by combining with SIFT key-points for iris recognition-Reference-Cited by-同舟云学术

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The improved characteristics of bionic gabor representations by combining with SIFT key-points for iris recognition

Published:2015-09 Issue:3 Volume:12 Page:504-517
ISSN:1672-6529
Container-title:Journal of Bionic Engineering
language:en
Short-container-title:J Bionic Eng

Author:

Liu Yuanning,He Fei,Zhu Xiaodong,Liu Zhen,Chen Ying,Han Ye,Yu Lijiao

Publisher

Springer Science and Business Media LLC

Subject

Bioengineering,Biophysics,Biotechnology

Link

http://link.springer.com/article/10.1016/S1672-6529(14)60141-4/fulltext.html

Reference40 articles.

1. Daugman J G. High confidence visual recognition of persons by a test of statistical independence. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1993, 15, 1148–1161.

2. Wildes R P. Iris recognition: An emerging biometric technology. Proceedings of the IEEE, 1999, 85, 1348–1363.

3. Boles W W, Boashash B. A human identification technique using images of the iris and wavelet transform. IEEE Transactions on Signal Processing, 1998, 46, 1185–1188.

4. Ma L, Tan T, Wang Y, Zhang D. Personal identification based on iris texture analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2003, 25, 1519–1533.

5. Proenca H. Towards Non-Cooperative Biometric Iris Recognition. PhD Thesis, University of Beira Interior, Portugal, 2006.

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