Iris recognition based on DLDA

Proceedings - International Conference on Pattern Recognition

Volumn 4, Issue , 2006, Pages 489-492

  Chengqiang, Liu ^a   Mei, Xie ^a  

^a UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA   (China)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; DISCRIMINANT ANALYSIS; IMAGE ANALYSIS; INDEPENDENT COMPONENT ANALYSIS; LINEAR SYSTEMS; PRINCIPAL COMPONENT ANALYSIS; WAVELET DECOMPOSITION;

DIRECT LINEAR DISCRIMINANT ANALYSIS (DLDA); EQUAL ERROR RATE (EER); FALSE NON MATCH RATE (FNMR); IRIS FEATURE EXTRACTION;

PATTERN RECOGNITION;

EID: 34147144534     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2006.727     Document Type: Conference Paper

References (13)

1. L.Flom and A.Safir, "Iris Recognition system," U.S.Patent 4641394, 1987.
2. J.Daugman,"High confidence visual recognition of persons by a test ofstatistical independence," IEEE Trans. Pattern Analy. Machine Intell.,vol. 15, pp. 1148-1161, Nov. 1993.
3. R. Wildes, J. Asmuth, G. Green, S. Hsu, R. Kolczynski, J. Matey, andS. McBride,"A machine-vision system for iris recognition," Mach. Vis.Applic., vol.9, pp. 1-8, 1996.
4. W. Boles and B. Boashash, "A human identification technique using images, of the iris and wavelet transform," IEEE Trans. Signal Processing, vol. 46, pp. 1185-1188, Apr. 1998.
5. L. Ma, Y. Wang, and T. Tan, "Iris recognition based on multi-channel Gabor filtering," in Proc. 5th Asian Conf. Computer Vision, vol. I, 2002, pp. 279-283.
6. th Int. Conf. Pattern Recognition, vol. II, 2002, pp. 414-417.
7. L.Ma, T.Tan and Y.Wang, "Efficient iris recognition characterizing key local variations" IEEE Trans on Image Processing, VOL.13,NO. 6, JUNE 2004.
8. J.Cui ,Y.Wang J.Zhou, T.Tan and Z.Sun"An Iris Image Synthesis Method Based on PCA and Super-resolution" Proceedings of the 17th International Conference on Pattern Recognition (ICPR'04) 1051-4651/04
9. Vivekanand Dorairaj, Natalia A.Schmid and Gamal Fahmy,"Rerformance evaluation of iris based recognition system implementing PCA and ICA encoding techniques" Biometric Technology for Human Identification, SPIE VOL.5779 (SPIE, Bellingham, WA, 2005).
10. W.Zhao, R.Chellappa and A. Krishnaswamy "Discriminant Analysis of Principal Components for Face Recognition" Partially supported by the ONR MURI contract N00014-95-1-0521, under ARPA order C635.
11. H. Yu, J. Yang"A direct LDA algorithm for high-dimensional data-with application to face recognition". Pattern Recognition, Vol.34, pp2067-2070, 2001
12. Y.Zhu,Y.Wang and T.Tan "Biometrics personal identification based on iris pattern" Acta Automatica Sinica, v 28, n 1, January, 2002, p 1-10
13. http//www.sinobiometrics.com.