Iris recognition based on non-local comparisons

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3338, Issue , 2004, Pages 67-77

  Sun, Zhenan ^a   Tan, Tieniu ^a   Wang, Yunhong ^a  

^a INSTITUTE OF AUTOMATION   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ENCODING (SYMBOLS);

IMAGE COMPARISON; INTRA-CLASS VARIATION; IRIS RECOGNITION; IRIS RECOGNITION ALGORITHM; MULTIPLE REGIONS; PERSONAL IDENTIFICATION; RELIABLE METHODS; STATE OF THE ART;

BIOMETRICS;

EID: 35048875241     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-30548-4_9     Document Type: Review

References (16)

1. A. Jain, R. Bolle, and S. Pankanti, Biometrics: Personal Identification in a Networked Society, Norwell, MA: Kluwer, 1999.
2. D. Zhang, Automated Biometrics: Technologies and Systems, Norwell, MA: Kluwer, 2000.
3. http://www.iridiantech.com
4. Zhenan Sun, Tieniu Tan, Yunhong Wang, "Robust Encoding of Local Ordinal Measures: A General Framework of Iris Recognition", in D. Maltoni and A.K. Jain (Eds.): Proceedings of the ECCV 2004 International Workshop on Biometric Authentication (BioAW), Lecture Notes in Computer Science, Vol.3087, pp. 270-282, Springer-Verlag Berlin Heidelberg, 2004.
5. The Sinha Laboratory for Vision Research at MIT, http://web.mit.edu/bcs/sinha/home.htm.
6. B. Balas and P. Sinha, "Dissociated Dipoles: Image Representation via Non-local Comparisons", CBCL Paper #229/AI Memo #2003-018, Massachusetts Institute of Technology, Cambridge, MA, 2003.
7. P. Sinha, "Qualitative Representations for Recognition". In: H.H. Bülthoff, S.-W. Lee, T.A. Poggio, C. Wallraven (Eds.): Biologically Motivated Computer Vision. Lecture Notes in Computer Science, Vol. 2525. Springer-Verlag, Heidelberg, pp.249-262, 2002.
8. J. Daugman, "High Confidence Visual Recognition of Persons by a Test of Statistical Independence", IEEE Trans. Pattern Analysis and Machine Intelligence, Vol.15, No.11, pp.1148-1161, 1993.
9. S. Noh, K. Bae, and J. Kirn, "A Novel Method to Extract Features for Iris Recognition System", Proc. the 4th International Conference on Audio- and Video-Based Biometric Person Authentication, pp.862-868, 2003.
10. 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, pp.739-750, 2004.
11. Zhenan Sun, Yunhong Wang, Tieniu Tan, Jiali Cui, "Robust Direction Estimation of Gradient Vector Field for Iris Recognition", Proceedings of the 17th International Conference on Pattern Recognition, Vol.2, pp.783-786, IEEE Computer Society Press, 2004.
12. CASIA Iris Image Database, Chinese Academy of Sciences, Institute of Automation, http://www.sinobiometrics.com/casiairis.htm.
13. L. Ma, T. Tan, Y. Wang, and D. Zhang, "Personal Identification Based on Iris Texture Analysis", IEEE Trans. PAMI, Vol. 25, No.12, pp.1519-1533, 2003.
14. S. Mukherjee, S. Thoresz, P. Sinha, "The Fidelity of Local Ordinal Encoding", In T. Diettench, S. Becker & Z. Ghahramani (Eds.), Advances in Neural Information Processing Systems (14). MIT Press: Cambridge, MA, 2002.
15. Jun Shen, Wei Shen, Serge Castan, and Tianxu Zhang, "Sum-box technique for fast linear filtering", Signal Processing, Vol. 82, pp.1109-1126, 2002.
16. P. Viola and M. Jones, "Rapid Object Detection Using a Boosted Cascade of Simple Features", Proc. Conf. Computer Vision and Patter Recognition, pp.511-518, 2001.