Year 2006,
Volume: 6 Issue: 1, 13 - 17, 02.01.2012
Abstract
References
- A.K. Jain, R.M. Bolle, and S. Pankanti, Eds., “Biometrics:Personal Identification in a networked Society”, Norwell, MA:Kluwer, 1999.
- D. Zhang, “Biometrics Technologies and Applications”,Proc. of International Conference on Image and Graphics,42-49, China, August 2000.
- G. Lawton, “Biometrics: A New Era in Security”, IEEE Computer, pp.16-18, Aug. 1998.
- J.G. Daugman, “High Confidence Visual Recognition of Persons by a Test of Statistical Independence”, IEEE Tans. Pattern Analysis and Machine Intelligence, vol.15, pp.1148-1161, Nov. 1993.
- W.Boles and B.Boashash, “A Human Identification Technique Using Images of the Iris and Wavelet Transform”, IEEE Trans. on Signal Processing, Vol 46, No.4, 1185-1188, 1998.
- R. Wildes et al. “A Machine-vision System for Iris Recognition System,” Machine Vision and Applications, Vol. 9, 1-8, 1996.
- Jainguo Zhang, Tieniu Tan, Li Ma, “Invariant Texture Segmentation Via Circular Gabor Filters”, ICPR-2002, 901904.
- L. Ma, Y. Wang, T. Tan, “Iris Recognition Based on Multichannel Gabor Filtering”, Proc. of ACCV-2002, Vol. I, 279-283, 2002.
- L. Ma, Y. Wang, T. Tan, “Iris Recognition Using Circular Symmetric Filters”, Proc. of the 16th International Conference on Pattern Recognition, Vol. II, 414-417, 2002.
- Li Ma, Tieniu Tan, Yunhong Wang, Dexin Zhang, “Local Intensity Variation Analysis for Iris Recognition”, Pattern Recognition, 37 (6): 1287-1298 (2004).
- CASIA Iris Database: http://www.sinobiometrics.com
- G. Gürkan, A. Akan, “A New Iris Recognition Method Based On Texture Analysis”, 13th IEEE Sinyal Işleme ve Iletişim Uygulamalari Kurultayi, SIU2005, Kayseri, Turkey, 16-18 May 2005.
Year 2006,
Volume: 6 Issue: 1, 13 - 17, 02.01.2012
Abstract
In this paper, we present a new method for personal identification, based on iris patterns. The method composed of iris image acquisition, image preprocessing, feature extraction and finally decision stages. Normalized iris images are vertically log-sampled and filtered by circular symmetric Gabor filters. The output of filters are windowed and mean absolute deviation of pixels in the window are calculated as the feature vectors. The proposed method has the desired properties of an iris recognition system such as scale and rotation invariance. The system is realized in Windows platform
References
- A.K. Jain, R.M. Bolle, and S. Pankanti, Eds., “Biometrics:Personal Identification in a networked Society”, Norwell, MA:Kluwer, 1999.
- D. Zhang, “Biometrics Technologies and Applications”,Proc. of International Conference on Image and Graphics,42-49, China, August 2000.
- G. Lawton, “Biometrics: A New Era in Security”, IEEE Computer, pp.16-18, Aug. 1998.
- J.G. Daugman, “High Confidence Visual Recognition of Persons by a Test of Statistical Independence”, IEEE Tans. Pattern Analysis and Machine Intelligence, vol.15, pp.1148-1161, Nov. 1993.
- W.Boles and B.Boashash, “A Human Identification Technique Using Images of the Iris and Wavelet Transform”, IEEE Trans. on Signal Processing, Vol 46, No.4, 1185-1188, 1998.
- R. Wildes et al. “A Machine-vision System for Iris Recognition System,” Machine Vision and Applications, Vol. 9, 1-8, 1996.
- Jainguo Zhang, Tieniu Tan, Li Ma, “Invariant Texture Segmentation Via Circular Gabor Filters”, ICPR-2002, 901904.
- L. Ma, Y. Wang, T. Tan, “Iris Recognition Based on Multichannel Gabor Filtering”, Proc. of ACCV-2002, Vol. I, 279-283, 2002.
- L. Ma, Y. Wang, T. Tan, “Iris Recognition Using Circular Symmetric Filters”, Proc. of the 16th International Conference on Pattern Recognition, Vol. II, 414-417, 2002.
- Li Ma, Tieniu Tan, Yunhong Wang, Dexin Zhang, “Local Intensity Variation Analysis for Iris Recognition”, Pattern Recognition, 37 (6): 1287-1298 (2004).
- CASIA Iris Database: http://www.sinobiometrics.com
- G. Gürkan, A. Akan, “A New Iris Recognition Method Based On Texture Analysis”, 13th IEEE Sinyal Işleme ve Iletişim Uygulamalari Kurultayi, SIU2005, Kayseri, Turkey, 16-18 May 2005.
There are 12 citations in total.
Details
| Primary Language | English |
|---|---|
| Journal Section | Articles |
| Authors | |
| Publication Date | January 2, 2012 |
| Published in Issue | Year 2006 Volume: 6 Issue: 1 |
