Retinal Identification System Based on the Combination of Fourier and Wavelet Transform
- 1 Nuclear Science and Technology Research Institute, Tehran, Iran
- 2 Nuclear Science and Technology Research Institute, Tehran, Iran
- 3 Nuclear Science and Technology Research Institute, Tehran, Iran
- 4 Nuclear Science and Technology Research Institute, Tehran, Iran
- 5 Nuclear Science and Technology Research Institute, Tehran, Iran
Abstract
Retinal image is one of the robust and accurate biometrics. A new biometric identification system base on combination of Fourier transform and that special partitioning and wavelet transform presented in this article. In this method, at first, optical disc is localized using template matching technique and use it for rotate the retinal image to reference position. Angular partitioning with the special structure on magnitude spectrum of retinal image and Wavelet Transform is used for feature definition. Finally we employ Euclidean distance for feature matching. The proposed method applied on a database consist 400 retinal images from 40 persons. In this article noisy and rotate retinal image are used in identification process. 99.1% identification rate can achieve in this proposed method.
- T. Dunstone and N. Yager, “Biometric System and Data Analysis,” Springer, New York, 2008, pp. 529-548.
- S. Nanavati, M. Thieme and R. Nanavati, “Biometrics Identity Verification in a Networked World,” John Wiley & Sons, Inc., New York, 2002.
- H. Farzin, H. A. Moghaddam and M. S. Moin, “A Novel Retinal Identification System,” EURASIP Journal on Advances in Signal Processing, Vol. 2008, 2008, Article ID: 280635.
- M. Shahnazi, M. Pahlevanzadeh and M. Vafadoost, “Wavelet Based Retinal Recognition,” 9th International Symposium on Signal Processing and Its Applications (ISSPA), Sharjah, February 2007, pp. 1-4.
- H. Tabatabaee, A. Milani-Fard and H. Jafariani, “A Novel Human Identifier System Using Retina Image and Fuzzy Clustering Approach,” Proceedings of the 2nd IEEE International Conference on Information and Communication Technologies (ICTTA06), Damascus, April 2006, pp. 1031-1036.
- M. Ortega, C. Marino, M. G. Penedo, M. Blanco and F. Gonzalez, “Biometric Authentication Using Digital Retinal Images,” Proceedings of the 5th WSEAS International Conference on Applied Computer Science (ACOS06), Hangzhou, April 2006, pp. 422-427.
- Z. W. Xu, X. X. Guo, X. Y. Hu and X. Cheng, “The Blood Vessel Recognition of Ocular Fundus,” Proceedings of the 4th International Conference on Machine Learning and Cybernetics (ICMLC05), Guangzhou, August 2005, pp. 4493-4498.
- R. C. Gonzalez and R. E. Woods, “Digital Image Processing,” Pearson Education Inc., New Delhi, 2003, pp. 548-560.