New Corneal Reflection Removal Method Used In Iris Recognition System
Images of human iris contain specular highlights due
to the reflective properties of the cornea. This corneal reflection
causes many errors not only in iris and pupil center estimation but
also to locate iris and pupil boundaries especially for methods that
use active contour. Each iris recognition system has four steps:
Segmentation, Normalization, Encoding and Matching. In order to
address the corneal reflection, a novel reflection removal method is
proposed in this paper. Comparative experiments of two existing
methods for reflection removal method are evaluated on CASIA iris
image databases V3. The experimental results reveal that the
proposed algorithm provides higher performance in reflection
removal.
[1] K. W. Bowyer, K. Hollingsworth, and P. J. Flynn, "Image understanding
for iris biometrics: A survey," Computer Vision and Image
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[2] Z. He, T. Tan, and Z. Sun, "Iris localization via pulling and pushing,"
18th International Conference on Pattern Recognition, vol. 4, no. 4,
2006.
[3] J. Daugman, "How iris recognition works," IEEE Transactions on
circuits and systems for video technology, vol. 14, no. 6, JANUARY
2004.
[4] G. J.Mohammed, H. B. Rong, and A. A. Al-Kazzaz, "A new localization
algorithm for iris recognition," Information technology Journal, vol. 8,
no. 7, 2009.
[5] H. B. Kekre, T. K. Sarode, V. A. Bharadi, A. Agrawal, R. Arora, and M.
Nair, "Iris recognition using discrete cosin transform and kekreŠs fast
codebook generation algorithm," International Conference and
Workshop on Emerging Trends in Technology, no. 8, 2010.
[6] Nguyen, C. Fookes, and S. Sridharan, "Fusing shrinking and expanding
active contour models for robust iris segmentation," 10th International
Conference on Information Science, Signal Processing and their
Applications, no. 9, octobre 2010.
[7] J. Daugman, "New method in iris recognition," IEEE Transactions on
systems, man, and cyberneticsu┬░ partb:cybernetics, , vol. 37, no. 3,
OCTOBER 2007.
[8] Z. He, T. Tan, Z. Sun, and X. Qiu, "Toward accurate and fast iris
segmentation for iris biometrics," IEEE Transactions on Pattern
analysis and machine intelligence, vol. 31, no. 1, SEPTEMBER 2009.
[9] A. A. jarjes, K. Wang, and G. J.Mohammed, "Gvf snake-based method
for accurate pupil contour detection," Information technology Journal,
vol. 9, no. 2, 2010.
[1] K. W. Bowyer, K. Hollingsworth, and P. J. Flynn, "Image understanding
for iris biometrics: A survey," Computer Vision and Image
Understanding, vol. 110, no. 5, 2007.
[2] Z. He, T. Tan, and Z. Sun, "Iris localization via pulling and pushing,"
18th International Conference on Pattern Recognition, vol. 4, no. 4,
2006.
[3] J. Daugman, "How iris recognition works," IEEE Transactions on
circuits and systems for video technology, vol. 14, no. 6, JANUARY
2004.
[4] G. J.Mohammed, H. B. Rong, and A. A. Al-Kazzaz, "A new localization
algorithm for iris recognition," Information technology Journal, vol. 8,
no. 7, 2009.
[5] H. B. Kekre, T. K. Sarode, V. A. Bharadi, A. Agrawal, R. Arora, and M.
Nair, "Iris recognition using discrete cosin transform and kekreŠs fast
codebook generation algorithm," International Conference and
Workshop on Emerging Trends in Technology, no. 8, 2010.
[6] Nguyen, C. Fookes, and S. Sridharan, "Fusing shrinking and expanding
active contour models for robust iris segmentation," 10th International
Conference on Information Science, Signal Processing and their
Applications, no. 9, octobre 2010.
[7] J. Daugman, "New method in iris recognition," IEEE Transactions on
systems, man, and cyberneticsu┬░ partb:cybernetics, , vol. 37, no. 3,
OCTOBER 2007.
[8] Z. He, T. Tan, Z. Sun, and X. Qiu, "Toward accurate and fast iris
segmentation for iris biometrics," IEEE Transactions on Pattern
analysis and machine intelligence, vol. 31, no. 1, SEPTEMBER 2009.
[9] A. A. jarjes, K. Wang, and G. J.Mohammed, "Gvf snake-based method
for accurate pupil contour detection," Information technology Journal,
vol. 9, no. 2, 2010.
@article{"International Journal of Electrical, Electronic and Communication Sciences:49921", author = "Walid Aydi and Nouri Masmoudi and Lotfi Kamoun", title = "New Corneal Reflection Removal Method Used In Iris Recognition System", abstract = "Images of human iris contain specular highlights due
to the reflective properties of the cornea. This corneal reflection
causes many errors not only in iris and pupil center estimation but
also to locate iris and pupil boundaries especially for methods that
use active contour. Each iris recognition system has four steps:
Segmentation, Normalization, Encoding and Matching. In order to
address the corneal reflection, a novel reflection removal method is
proposed in this paper. Comparative experiments of two existing
methods for reflection removal method are evaluated on CASIA iris
image databases V3. The experimental results reveal that the
proposed algorithm provides higher performance in reflection
removal.", keywords = "iris, pupil, specular highlights, reflection removal", volume = "5", number = "5", pages = "587-5", }