An Efficient Approach for Simple Iris Localization and Normalization Technique

Document Type : Original Article

Authors

1 Dept. of Computer Science and Eng., Faculty of Elect., Engineering, Menoufia University, Egypt.

2 Dept. of Electronic and Communication Engineering, National Telecommunication Institute, Egypt.

Abstract

Iris segmentation is a critical step in iris recognition system. Some challenges to segment iris such as occlusion by eyelids, eyelashes, and corneal and specular reflection. Traditional techniques to remove these artifacts were more complex, computationally exhaustive, time consuming, sensitive to noise, and large memory occupation. In this paper, a novel approach is proposed to isolate the iris free of artifacts without changing its structure. In this method, the segmentation, normalization, and unwrapping steps are merged into one step. A series of morphological operations to remove reflections are implemented. Pupil is detected by using threshold technique. This method gives better results in factors of image quality, accuracy, and less memory occupation in general purpose processor. As a result, this proposed technique is suitable for hardware and real-time applications as it is fast, more accurate, no deformation of iris structure, and less complex.

References

[1] Zhaofeng He, Tieniu Tan, Zhenan Sun, and X. Qiu, "Toward Accurate and
Fast Iris Segmentation for Iris Biometrics," IEEE Transactions on Pattern
Analysis and Machine Intelligence, vol. 31, no. 9, pp. 1670-1684, 2009.
[2] Navita Kamboj and P. Gupta, "A Review on Segmentation techniques for
Iris Recognition System," International Journal of Engineering and
Management Research, vol. 5, no. 2, pp. 14-16, 2015.
[3] Ramadan Gad, Nawal El-Fishawy, M. Zorkany, and A. EL-SAYED,
"FPGA Implementation of Iris Recognition Based on Fast DCT Coding,"
presented at the 25th International Conference on Computer Theory and
Applications (ICCTA 2015), Alexandria, Egypt, 24-26 October 2015, pp.
185-190.
[4] R. Gad, M. Mohamed, and N. El-Fishawy, "Iris Recognition Based on
Log-Gabor and Discrete Cosine Transform Coding," Journal of Computer
Science and Engineering, vol. 5, no. 2, pp. 19-26, 2011.
[5] Y. Lin, Z. Qu, Y. Zhang, and H. Han, "A Fast and Accurate Pupil
Localization Method Using Gray Gradient Differential and Curve Fitting,"
in Proceedings of the 4th International Conference on Computer
Engineering and Networks, 2015, pp. 495-503.
[6] Chunxian Song, Guangzhu Xu, Chunlin Li, and J. Jing, "Removing
Speckles Selectively from Iris Images to Improve Pupil Location Using 2D
Gabor Filters," International Journal of Hybrid Information Technology,
vol. 5, no. 2, pp. 57-66, 2012.
[7] Ann A. Jarjes, Kuanquan Wang, and G. J. Mohammed, "Gvf Snake-based
Method for Accurate Pupil Contour Detection," Information technology
Journal, vol. 9, no. 8, pp. 1653-1658, 2010.
[8] Kien Nguyen Thanh, Clinton B. Fookes, and S. Sridharan, "Fusing
Shrinking and Expanding Active Contour Models for Robust Iris
Segmentation," presented at the 10th International Conference on
Information Science, Signal Processing and their Applications,
Renaissance Hotel, Kuala Lumpur, 10-13 May 2010, pp. 1-4.
[9] Walid Aydi, Nouri Masmoudi, and L. Kamoun, "New Corneal Reflection
Removal Method Used In Iris Recognition System," International
Scholarly and Scientific Research & Innovation, vol. 5, no. 5, pp. 898-902,
2011.
[10] M. Manjunath and K. B. Raja, "A Novel Approach for Iris Recognition
using DWT&PCA," Int. J. Advanced Networking and Applications, vol. 5,
no. 1, pp. 1830-1836, 2013.
[11] LIU Weihua, FAN Yangyu, and L. Tao, "Eye Corneal Reflection Removal
Based on Boundary Initial Position Detection," Computer Engineering and
Applications, vol. 49, no. 17, pp. 1-5, 2013.
[12] Pengfei Cai and C. Wang, "An Eyelid Detection Algorithm for the Iris
Recognition," International Journal of Security and Its Applications, vol.
9, no. 5, pp. 105-112, 2015.
[13] O. MARQUES, Image and Video Processing Using MATLAB, vol. 1.
Canada.: John Wiley & Sons, 2011.
[14] J. Daugman, "How Iris Recognition Works," IEEE Transactions on
Circuits and Systems for Video Technology, vol. 14, no. 1, pp. 21-30,
2004.

Files

Share

How to cite

Statistics