Iris recognition based on local feature point matching

2006 International Symposium on Communications and Information Technologies, ISCIT

Volumn , Issue , 2006, Pages 451-454

  Zhu, Ruihui ^a   Yang, Jinfeng ^a   Wu, Renbiao ^a  

^a CIVIL AVIATION UNIVERSITY OF CHINA   (China)

Author keywords

[No Author keywords available]

Indexed keywords

BIOMETRICS; BOOLEAN FUNCTIONS; INFORMATION TECHNOLOGY; MATHEMATICAL TRANSFORMATIONS;

INTERNATIONAL SYMPOSIUM; IRIS RECOGNITION;

FEATURE EXTRACTION;

EID: 50949086439     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISCIT.2006.339986     Document Type: Conference Paper

References (18)

1. A. Jain, R. Bolle, and S. Pankanti, Biometrics: Personal Identification in a Networked Society, Kluwer, Norwell, 1999.
2. T. Mansfield, G. Kelly, D. Chandler, and J. Kane, Biometric Product Testing Final Report, issue 1.0, National Physical Laboratory of UK, 2001.
3. J. Daugman, "High Confidence Visual Recognition of Persons by a Test of Statistical Independence", IEEE Trans. PAMI, Vol. 15, No. 11, 1993, pp. 1148-1161.
4. J. Daugman, "Statistical Richness of Visual Phase Information: Update on Recognizing Persons by Iris Patterns", IJCV, Vol. 45(1), 2001, pp. 25-38.
5. R.P. Wildes, J.C. Asmuth, et al., "A Machine-vision System for Iris Recognition", Machine Vision and Applications, Vol. 9, 1996, pp. 1-8.
6. W.W. Boles and B. Boashash, "A Human Identification Technique Using Images of the Iris and Wavelet Transform", IEEE Trans. Signal Processing, Vol. 46, No. 4, 1998, pp. 1185-1188.
7. Peter Kovesi, "Image Features from Phase Congruency". Videre: A Journal of Computer Vision Research. MIT Press. Vol. 1, No. 3, 1999.
8. L. Ma, T. Tan, Y. Wang, and D. Zhang, "Personal identification based on iris texture analysis", IEEE Trans. Pattern Analysis and Machine Intelligence, Vol. 25, No. 12, pp. 1519-1533, 2003.
9. L. Ma, T. Tan, Y. Wang, and D. Zhang, "Efficient Iris Recognition by Characterizing Key Local Variations", IEEE Trans. Image Processing. Vol. 13, No. 6, 2004, pp. 739-750.
10. st International Conference on Biometric Authentication, pp. 442-449, 2004.
11. th Asian Conference on Computer Vision, Vol. II, pp. 945-959, 2004.
12. L. Ma, T. Tan, D. Zhang, and Y. Wang, "Local Intensity Variation Analysis for Iris Recognition", Pattern Recognition. Vol. 37, No. 6, 2004, pp. 1287-1298.
13. Sanchez-Avila, R. Sanchez-Reillo, "Two different approaches for iris recognition using Gabor filters and multiscale zero-crossing representation", Pattern Recognition, Vol. 38, No. 2, pp. 231-240, 2005.
14. Y. Du, B. Bonney, R. W. Ives, D. M. Etter, and R. Schultz, "Analysis of Partial Iris Recognition using a 1D Approach," Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Vol. II, pp. 961-964, 2005.
15. K. Miyazawa, K. Ito, T. Aoki, K. Kobayashi, H. Nakajima, "An Efficient Iris Recognition Algorithm Using Phase-Based Image Matching", IEEE International Conference on Image Processing (ICIP), Vol. 2, pp. 49-52, 2005.
16. Lowe, D.G. "Object recognition from local scale-invariant features", In International Conference on Computer Vision, Corfu, Greece, pp. 1150-1157. 1999.
17. Brown, M. and Lowe, D.G. Invariant features from interest point groups. In British Machine Vision Conference, Cardiff, Wales, pp. 656-665. 2002.
18. Harris, C. and Stephens, M. "A combined corner and edge detector", In Fourth Alvey Vision Conference, Manchester, UK, pp. 147-151. 1988.