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Reseach Article
Improved Iris Recognition in 2D Eigen Space
by
Abhijit Das,
Ranjan Parekh
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 52 - Number 19 |
| Year of Publication: 2012 |
| Authors: Abhijit Das, Ranjan Parekh |
10.5120/8314-1247
|
Abhijit Das, Ranjan Parekh . Improved Iris Recognition in 2D Eigen Space. International Journal of Computer Applications. 52, 19 ( August 2012), 1-6. DOI=10.5120/8314-1247
@article{
10.5120/8314-1247,
author = {
Abhijit Das,
Ranjan Parekh
},
title = { Improved Iris Recognition in 2D Eigen Space },
journal = {
International Journal of Computer Applications
},
issue_date = { August 2012 },
volume = { 52 },
number = { 19 },
month = { August },
year = { 2012 },
issn = { 0975-8887 },
pages = {
1-6
},
numpages = {9},
url = {
https://ijcaonline.org/archives/volume52/number19/8314-1247/
},
doi = { 10.5120/8314-1247 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:52:43.542367+05:30
%A Abhijit Das
%A Ranjan Parekh
%T Improved Iris Recognition in 2D Eigen Space
%J International Journal of Computer Applications
%@ 0975-8887
%V 52
%N 19
%P 1-6
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract
This paper a new biometric method for personal identification is been presented by iris identification of a person in lower dimensionality and reduced template size than the other previous approaches in 2D Eigen space, so that it can be use for verification in application areas . Here the iris images are expressed in lower dimension, re-tending its features by using covariance matrix and Eigen matrix to a covariant-Eigen space vector. The proposed approach is also suitable to work on half iris image. The proposed approach shows high accurate result.
References
- Bertillon, A, 1885. La couleur de Piris. Revue scientifique. Vol. 36, No. 3, 65-73.
- Daugman, J. 1992. High confidence personal identification by rapid video analysis of iris Texture. Proc. IEEE International Carnaha conf. on security technology, 50-60.
- Daugman, J. 1993. High confidence visual recognition of persons by a test of statistical independence. IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 15, No. 11, 1148-1161.
- Daugman, J. 2004. How iris recognition works. Circuits and Systems for Video Technology. IEEE Trans. , Vol. 14, No. 1, 21-30.
- Daugman, J. 2007. New Methods in Iris Recognition. Proc. IEEE Trans. on system, man and cybernetics-part B, Vol. 37, No 5, 1167-1175.
- Savithiri, G. , and Murugan, A. 2011. Performance Analysis on Half Iris Feature Extraction using GW, LBP and HOG. International Journal of Computer Applications, Vol. 22, No. 2 (May 2011), 27-32.
- Hussain, Md. A. 2010. Eigenspace Based Accurate Iris Recognition System. Proc. Annual IEEE India Conference (INDICON), 763-767.
- Monro, D. M. , Rakshit, S. , and Zhang, D. 2007. DCT-Based Iris Recognition. IEEE Trans. Pattern Analysis and Machine Intelligence, Vol. 29, No. 3 (April 2007), 586-595.
- Das, A. , and Parekh, R. 2012. Iris Recognition using a Scalar base Template in Eigen-space. IJCST, Vol. 3, No. 5, 74-79.
- Wang, Q, Zhang, X. , Li, M. , Dong, X. , Zhou, Q. , and Yin, Y. 2012. Adaboost and multi-orientation 2D Gabor-based noisy iris recognition. Pattern Recognition Letters, Vol. 33, 978–983.
- Roy, K. , and Bhattacharya, P. 2007. Iris Recognition Based on Zigzag Collarette Region and Asymmetrical Support Vector Machines. International Conference on Image Analysis and Recognition, 854–865.
- Wang, L. , Yang, G. , and Yin, Y. 2010. Fast Iris Localization Based on Improved Hough Transform. Rough Set and Knowledge Technology, 439–446.
- Nabti, M. and Bouridane, A. 2007. An Improved Iris Recognition System Using Feature Extraction Based on Wavelet Maxima Moment Invariants. International Conference on Biometrics, 988 – 996.
- Roy, K. , Bhattacharya, P. , and Ching, Y. S. 2011. Iris recognition using shape-guided approach and game theory. Pattern Anal Application, Vol. 14, 329–348.
- Radman, A. , Jumari, K. , and Zainal, N. 2011. Iris Segmentation: A Review and Research Issues. International Conference on Software Engineering and Computer Systems, 698–708.
- Woodard, D. L. , Pundlik, S. J. , Miller,P. E. , and Lyle, J. R. 2011. Appearance-based periocular features in the context of face and non-ideal iris recognition. Signal, Image and Video Processing, Vol. 5, 443–455.
- Luis Miguel Zamudio-Fuentes1, Mireya S. García-Vázquez, and Alejandro Alvaro Ramírez-Acosta 2011. Local Quality Method for the Iris Image Pattern. Computer Analysis of Images and Patterns, 79–88.
- Martinez, F. , Carbone, A. , and Pissaloux, E. 2011. Radial Symmetry Guided Particle Filter for Robust Iris Tracking. Computer Analysis of Images and Patterns, 531–539.
- Erdogmus, N. , and Dugelay, J. 2010. An Efficient Iris and Eye Corners Extraction Method. Structural, Syntactic, and Statistical Pattern Recognition, 549–558.
- Abidin, Z. Z. , Manaf, M. , and Shibghatullah, A. S. 2011. A New Model of Securing Iris Authentication Using Steganography. International Conference on Software Engineering and Computer Systems, 547–554.
- CASIA Iris Image Database Version 3. 0 (CASIA-IrisV3), Available: www. biometrics. idealtest. org
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