Volume : 2, Issue : 6, JUN 2016

EFFICIENT METHODS OF IRIS RECOGNITION

Zinah R. Hussein

Abstract

Identification by biological features gets tremendous importance with the increasing of security systems in society. Various types of biometrics like face, finger, iris, retina,voice, palm print, ear and hand geometry, in all these characteristics, iris recognition gaining attention because iris of every person is unique, it never changes during human lifetime and highly protected against damage. This unique feature shows that iris can be good security measure. Iris recognition system listed as a high confidence biometric identification system; mostly it is divide into four steps: Acquisition, localization, segmentation and normalization. This work will review various Iris Recognition systems used by different researchers for each recognition step to identify strengths and weakness for each one that could be helpful for future research in this area.

Article : Download PDF

Cite This Article

Article No : 3

Number of Downloads : 920

References

1. Boles, W., & Boashash, B. (1998). A human identification technique using images of
the iris and wavelet transform. IEEE Transaction on Signal Processing, 46(4), pp.
1185–1188.
2. C.H. Daouk et al. (2002). IRIS RECOGNITION. Proceeding of the IEEE ISSPIT, (pp.
558-562). Marrakesh.
3. Choudhary, D., Tiwari, S., & Singh, A. K. (2012). A Survey: Feature Extraction Methods
for Iris Recognition. International Journal of Electronics Communication and Computer
Technology, 6, pp. 275-279.
4. Daugman, J. (1993). High confidence visual recognition of person by a test of statistical
independence. IEEE Trans. PAMI(15), pp. 1148-1161.
5. Daugman, J. (2003). The importance of being random: statistical principles of iris recognition.
Pattern Recognition(36), pp. 279-291.
6. Daugman, J. (2004). How iris recognition works. IEEE Trans. Circuits and Syst. For
video Tech, 14(2), pp. 21-30.
7. G.Xu, Z. Zhang , & Y. Ma. (2006). Improving The Performance of Iris Recognition System
Using Eyelids and Eyelashes Detection and Iris Image Enhancement. Proceeding
of the IEEE International Conference on Cognitive Informance, (pp. 871-876).
8. Irsch, K., & Guyton, D. (2009). Anatomy of Eyes. In Encyclopedia of Biometrics (pp.
11-16). New York: Springer.
9. Laney, H. (2006). Anatomy and Body / Iris Function. Retrieved from MED HEALTH
DAILY: http://www.medhealthdaily.com/iris-function/
10. Individual Biometric: iris scan. (2002). Retrieved November 22, 2007, from National
Center for State Courts: http//ctl.ncsc.dni.us
11. Kronfeld, P. (1962). Gross anatomy and embryology of the eye. In H. Davson, & E. London,
in The Eye. UK: Academic.
12. Muron, A., & Pospisil, J. (2000). The human iris structure and its usages. Acta Univ.
Palacki. Olomuc. Fac. Rerum Nat. Phys., pp. 87–95.
13. Sheela, S., & Vijaya, P. (2010). Iris recognition Methods-survey. International Journal
of Computer Applications, 5, pp. 19-25.
14. Sulochana, S., & Ravindra, T. (2011). Efficient Feature Extraction Methodology using
Wavelet Transform for the Development of Person Identification System using Iris
Biometrics. Jounal of Computer Science, 9, pp. 1353-1357.
15. Wildes, R. (1997). Iris recognition:an emerging biometric technology. Proc. IEEE,
85(9), pp. 1348–1363.