Iris recognition using combined statistical and co-occurrence multi-resolutional features

International Journal of Pattern Recognition and Artificial Intelligence

Volumn 27, Issue 1, 2013, Pages

  Raja Sekar, J ^a   Arivazhagan, S ^a   Priyadharshini, S Shobana ^a   Shunmugapriya, S ^b  

^a MEPCO SCHLENK ENGINEERING COLLEGE   (India)

^b S Veerasamy Chettiyar College of Engineering and Technology Puliangudi   (India)

Author keywords

Biometrics; curvelet transform; iris recognition; multiclass classifier; ridgelet transform

Indexed keywords

CANNY EDGE DETECTION; CO-OCCURRENCE FEATURES; CURVELET TRANSFORMS; IRIS RECOGNITION; MULTI-CLASS CLASSIFIER; MULTI-RESOLUTION TRANSFORMS; PERSONAL IDENTIFICATION; RIDGELET TRANSFORMS;

ALGORITHMS; EDGE DETECTION; FEATURE EXTRACTION; IMAGE SEGMENTATION;

BIOMETRICS;

EID: 84876212012     PISSN: 02180014     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0218001413560016     Document Type: Article

References (27)

1. A. A. Altun, H. E. Kocer and N. Allahverdi, Genetic algorithm based feature selection level fusion using ngerprint and iris biometrics, Int. J. Pattern Recogn. Artif. Intell. 22(3) (2008) 585-600.
2. W. W. Boles and B. Boashash, A human identication technique using images of the iris and wavelet transform, IEEE Trans. Signal Proc. 46(4) (1998) 1185-1188.
3. P. Bourke, http://local.wasp.uwa.edu.au/-pbourke/geometry/circlefrom3/ (1990).
4. K. W. Bowyer, K. Hollingsworth and P. J. Flynn, Image understanding for biometrics: A survey, Comp. Vis. Image Understand 110(2) (2008) 281-307.
5. E. Candes, L. Demanet, D. Donoho and L. Ying, Fast discrete curvelet transform, SIAM Multiscale Modell. Simulat. 5(3) (2006) 861-899.
6. E. Candes and D. L. Donoho, Curvelets-a suprisingly eective nonadaptive representation for objects with edges, in Saint-Malo Proc. (Vanderbilt University Press, Nashville 2000).
7. P. Carre and E. Andres, Discrete analytical ridgelet transform, Signal Proc. 84(11) (2004) 2165-2173.
8. C. P. Chang, J. C. Lee, Y. Su, P. S. Huang and T. M. Tu, Using empirical mode decomposition for iris recognition, Comput. Stand. Inter. 31 (2009) 729-739.
9. C. H. Chen and C. T. Chu, Low complexity iris recognition based on wavelet probabilistic neural networks, in Proc. Int'l Joint Conf. Neural Networks, Vol. 3 (Taiwan, 2005), 1930-1935.
10. J. G. Daugman, High condence visual recognition of persons by a test of statistical independence, IEEE Trans. Pattern Anal. Mach. Intell. 15(11) (1993) 1148-1161.
11. J. G. Daugman, The importance of being random: Statistical principles of iris recognition, Pattern Recogn. 36(2) (2003) 279-291.
12. S. Dey and D. Samanta, Iris data indexing method using gabor energy features, IEEE Trans. Inf. Forensic Security 7(4) (2012) 1192-1203.
13. M. N. Do and M. Vetterli, The nite ridgelet transform for image representation, IEEE Trans. Image Process. 12(1) (2003) 16-28.
14. D. L. Donoho and A. G. Flesia, Digital ridgelet transform based on true ridge functions, Studies Comput. Math. 10 (2003) 1-30.
15. X. Feng, X. Ding, Y. Wu and P. S. P. Wang, Classier combination and its application in iris recognition, Int. J. Pattern Recogn. Artif. Intell. 22(3) (2008) 617-638.
16. M. Hall, E. Frank, G. Holmes, B. Pfahringer, P. Reutemann and I. H. Witten, The WEKA data mining software: An update, SIGKDD Explorations 11(1) (2009) 10-18.
17. Z. He, T. Tan, Z. Sun and X. Qiu, Toward accurate and fast iris segmentation for iris biometrics, IEEE Trans. Pattern Anal. Mach. Intell. 31(9) (2009) 1670-1684.
18. Z. He, T. Tan and Z. Sun, Topology modeling for Adaboost-cascade based object detection, Pattern Recogn. Lett. 31(9) (2010) 912-919.
19. Institute of Automation, Chinese Academy of Sciences, CASIA-IrisV3 (2008), http://www.cbsr.ia.ac.cn/IrisDatabase.htm.
20. L. Ma, T. Tan, Y. Wang and D. Zhang, Personal identication based on iris texture analysis, IEEE Trans. Pattern Anal. Mach. Intell. 25(12) (2003) 1519-1533.
21. L. Ma, T. Tan, Y. Wang and D. Zhang, E±cient iris recognition by characterizing key local variations, IEEE Trans. Image Process. 13(6) (2004) 739-750.
22. T. Mandal and Q. M. J. Wu, Face recognition using curvelet based PCA, 19th Int'l. Conf. Patt. Recogn. (2008), pp. 1-4.
23. K. Miyazawa, K. Ito, T. Aoki, K. Kobayashi and H. Nakajima, An eective approach for iris recognition using phase-based image matching, IEEE Trans. Pattern Anal. Mach. Intell. 30(10) (2008) 1741-1756.
24. K. Roy and P. Bhattacharya, Improvement of iris recognition performance using regionbased active contours, genetic algorithms and SVMs, Int. J. Pattern Recogn. Artif. Intell. 24(8) (2010) 1209-1236.
25. J. L. Starck, Image processing by the curvelet transform, PPT.
26. Z. Yang, Z. Yang and L. Yang, Iris recognition based on Hilbert-Huang transform, J. Adv. Adapt. Data Anal. 1(4) (2009) 623-641.
27. L. Yu, D. Zhang and K. Wang, The relative distance of key point based iris recognition, Pattern Recogn. 40(2) (2007) 423-430.