A novel biorthogonal wavelet network system for off-angle iris recognition

Pattern Recognition

Volumn 43, Issue 3, 2010, Pages 987-1007

  Abhyankar, Aditya ^a,b   Schuckers, Stephanie ^a  

^a Wallace H Coulter School of Engineering   (United States)

^b VISHWAKARMA INSTITUTE OF INFORMATION TECHNOLOGY   (India)

Author keywords

Biorthogonal wavelets; Iris recognition; Matching analysis; Network repositioning; Non ideal conditions; Off axis images; Wavelet network

Indexed keywords

BIORTHOGONAL WAVELET; IRIS RECOGNITION; NON-IDEAL CONDITIONS; OFF-AXIS; WAVELET NETWORK;

WAVELET ANALYSIS;

BIOMETRICS;

EID: 70449732176     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2009.08.008     Document Type: Article

References (38)

1. S. Noh, K. Pae, C.Lee, J.Kim, Multiresolution independent component analysis for iris identification, in: The 2002 International Technical Conference on Circuits/Systems, Computers and Communications, Phuket, Thailand, 2002.
2. R. Wildes, Iris recognition: an emerging biometric technology, Proc. IEEE 85 (9).
3. J. Daugman, Biometric personal identification system based on iris analysis, United States Patent Number: 5,291,560.
4. W. Boles, B. Boashash, A human identification technique using images of the iris and wavelet transform, IEEE Trans. Signal Process. 46 (4).
5. L. Ma, Y. Wang, T. Tan, Iris recognition using circular symmetric filters, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences.
6. R. Wildes, J. Asmuth, G. Green, S. Hsu, R. Kolczynski, J. Matey, S. McBride, A system for automated iris recognition, in: Proceedings of the IEEE Workshop on Applications of Computer Vision, Sarasota, FL, 1994, pp. 121-128.
7. J. Daugman, How iris recognition works, in: Proceedings of 2002 International Conference on Image Processing, vol. 1, 2002.
8. J. Daugman, High confidence visual recognition of persons by a test of statistical independence, IEEE Trans. Pattern Anal. Mach. Intell. 15 (11).
9. Limaye B.V. Functional Analysis (1996), New Age International (P) Limited Publishers
10. Schuckers S.A.C., Schmid N.A., Abhyankar A., Dorairaj V., Boyce C.K., and Hornak L.A. On techniques for angle compensation in nonideal iris recognition. IEEE Trans. Syst. Man Cybern. Part B 37 5 (2007) 1176-1190
11. A. Abhyankar, L. Hornak, S. Schuckers, Bi-orthogonal wavelet based iris recognition, in: SPIE, Defence and Security Symposium, vol. 5406.
12. C.A. of Sciences-Institute of Automation, Database of 756 greyscale eye images 〈http://www.sinobiometrics.com〉.
13. W. Sweldens, The lifting scheme: a new philosophy in biorthogonal wavelet constructions, in: A.F. Laine, M. Unser (Eds.), Wavelet Applications in Signal and Image Processing III, Proceedings of the SPIE, vol. 2569, 1995, pp. 68-79.
14. C. Tisse, L. Martin, L. Torres, M. Robert, Person identification technique using human iris recognition, in: International Conference on Vision Interface, Canada.
15. Y. Zhu, T. Tan, Y. Wang, Biometric personal identification based on iris patterns, in: Proceedings of the 15th International Conference on Pattern Recognition, vol. 2.
16. Daubechies I., and Sweldens W. Factoring wavelet transforms into lifting steps. J. Fourier Anal. Appl. 4 3 (1998) 245-267
17. Calderbank R., Daubechies I., Sweldens W., and Yeo B.-L. Wavelet transforms that map integers to integers. Appl. Comput. Harmon. Anal. 5 3 (1998) 332-369
18. Sweldens W. The lifting scheme: a construction of second generation wavelets. SIAM J. Math. Anal. 29 2 (1997) 511-546
19. D.Z.W. Kong, Accurate iris segmentation based on novel reflection and eyelash detection model, in: Proceedings of 2001 International Symposium on Intelligent Multimedia, Video and Speech Processing, Hong-Kong, 2007.
20. N. Ritter, Location of the pupil-iris border in slit-lamp images of the cornea, in: Proceedings of the International Conference on Image Analysis and Processing.
21. T. Lee, Image representation using 2d Gabor wavelets, IEEE Trans. Pattern Anal. Mach. Intell. 18 (10).
22. Le K.N., Dabke K.P., and Egan G.K. On mathematical derivations of auto-term functions and signal to noise ratios of Choi-Williams, first- and nth-order hyperbolic kernels. Digital Signal Process. 16 1 (2006) 84-104
23. Le K.N., Dabke K.P., and Egan G.K. Hyperbolic wavelet family. Rev. Sci. Instrum. 75 11 (2004) 4678-4693
24. M. Misiti, Y. Misiti, G. Oppenheim, J.M. Poggi, Wavelet Toolbox for use with MATLAB, first ed., 1997.
25. Y. LeCun, P. Haffner, L. Bottou, Y. Bengio, in: D. Forsyth (Ed.), Object Recognition with Gradient-based Learning.
26. J. Principe, N. Euliano, C. Lefebvre, Innovating adaptive and neural systems instruction, in: Proceedings of the IEEE (special issue on engineering education).
27. Chellappa R., Fukushima K., Katsaggelos A., Kung S.-Y., LeCun Y., Nasrabadi N., and Poggio T. Applications of artificial neural networks to image processing (guest editorial). IEEE Trans. Image Process. 7 8 (1998) 1093-1097
28. Drucker H., and LeCun Y. Improving generalization performance using double backpropagation. IEEE Trans. Neural Networks 3 6 (1992) 991-997
29. LeCun Y., Kanter I., and Solla S. Eigenvalues of covariance matrices: application to neural-network learning. Phys. Rev. Lett. 66 18 (1991) 2396-2399
30. LeCun Y. A theoretical framework for back-propagation. In: D T., G H., and T S. (Eds). Proceedings of the 1988 Connectionist Models Summer School (1988), Morgan Kaufmann, CMU, Pittsburgh, PA 21-28
31. Bienenstock E., and Weisbuch G. Learning processes in an asymmetric threshold network. Disordered Systems and Biological Organization (1986), Springer, Les Houches, France 233-240
32. V. Kreinovich, O. Sirisaengtaksin, S. Cabrera, Wavelet Neural Networks are Asymptotically Optimal Approximators for Functions of One Variable, IEEE, 1994, pp. 299-304.
33. V. Kruger, A. Happe, G. Sommer, Affine real-time face tracking using a wavelet network, in: Proceedings of the Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems, vol. 141 (8).
34. A. Watson, G.Y. Yang, Visibility of wavelet quantization noise, IEEE Trans. Image Proc.
35. Z. Wang, A.C. Bovik, A universal image quality index, IEEE Trans. Image Proc.
36. J. Daugman, Biometric decision landscapes, Technical Report No. TR482, University of Cambridge Computer Laboratory.
37. I.R. Index, Iris recognition-homepage 〈http://www.iris-recognition.org/〉.
38. Martínez A.M. Recognizing imprecisely localized, partially occluded, and expression variant faces from a single sample per class. IEEE Trans. Pattern Anal. Mach. Intell. 24 6 (2002) 748-763