Localization of iris in gray scale images using intensity gradient

Optics and Lasers in Engineering

Volumn 45, Issue 12, 2007, Pages 1107-1114

  Basit, A ^a   Javed, M Y ^a  

^a NATIONAL UNIVERSITY OF SCIENCES AND TECHNOLOGY   (Pakistan)

Author keywords

Biometrics; Iris localization; Iris segmentation

Indexed keywords

BIOMETRICS; BOUNDARY CONDITIONS; FEATURE EXTRACTION; PATTERN MATCHING;

IRIS LOCALIZATION; IRIS SEGMENTATION; REDUNDANT POINTS;

IMAGE SEGMENTATION;

EID: 34548565827     PISSN: 01438166     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.optlaseng.2007.06.006     Document Type: Article

References (21)

1. Ali J.M.H., and Hassanien A.E. An iris recognition system to enhance e-security environment based on wavelet theory. Adv Model Opt 5 2 (2003) 93-104
2. Basit A., Javed M.Y., and Anjum M.A. Efficient iris recognition method for human identification. Enformatika 1 (2005) 24-26
3. Basit A, Javed MY. A fast and robust iris localization method. In: Proceedings of IADIS international conference applied computing; 2006. p. 557-60.
4. Daugman J.G. High confidence visual recognition of persons by a test of statistical independence. IEEE Trans Pattern Anal Mach Intell 5 11 (1993) 1148-1161
5. Daugman J. The importance of being random: statistical principles of iris recognition. Pattern Recog 36 (2003) 279-291
6. Wildes R., Asmuth J., et al. A machine vision system for iris recognition. Mach Vision Appl 9 (1996) 1-8
7. Wildes R. Iris recognition: an emerging biometric technology. Proc IEEE 85 9 (1997) 1348-1363
8. Ma L., Tan T., and Wang Y. Efficient iris recognition by characterizing key local variations. IEEE Trans Image Process 13 6 (2004) 739-750
9. Kronfeld P. Groos anatomy and embryology of the eye. In: Davson H. (Ed). The eye (1962), Academic Press, London
10. Adler F. Physiology of the eye: clinical application. 4th ed (1965), The C.V. Mosby Company, London
11. Liam LW, Chekma A, Fan LC, Dargham JA. Iris recognition using self organizing neural networks. In: 2002 Student conference on research and development proceedings, Malaysia; 2002. p. 169-72.
12. Hallinan P.W. Recognizing human eyes. Geom Meth Comput Vision 1570 (1991) 214-226
13. Snell R.S., and Lemp M.A. Clinical anatomy of the eye. 2nd revised ed (1998), Blackwell Science Inc.
14. Cui J., Wang Y., Tan T., Ma L., and Sun Z. A fast and robust iris localization method based on texture segmentation. SPIE Def Secur Symp 5404 (2004) 401-408
15. Ma L, Wang Y, Tan T. Iris recognition based multi-channel Gabor filtering. In: The fifth Asian conference on computer vision, 23-25 January 2002.
16. Kim J., Cho S., and Choi J. Iris recognition using wavelet features. J VLSI Signal Process 38 (2004) 147-156
17. Bernogger S, Yin L, Basu A, Pinz A. Eye tracking and animation for MPEG-4 coding. In: Proceedings of 14th ICPR, vol. 2 1998. p. 1281-4.
18. Xie X., Sudhakar R., and Zhuang H. Real time eye feature tracking from a video image sequence using Kalman filter. IEEE Trans Syst Man Cybern 25 12 (1995) 1568-1577
19. Chinese Academy of Sciences-Institute of Automation (CASIA) Iris database; 〈http://www.sinobiometrics.com〉.
20. Duda R.O., Hart P.E., and Stork D.G. Pattern classification. 2nd ed (2001), Wiley-Interscience Publication
21. Shen YZ, Zhang MJ, Yue JW, Ye HM. A new iris locating algorithm. In: Proceedings of the international conference on artificial reality and telexistence-workshops (ICAT'06); 2006. p. 438-41.