A Iris Fast Recognition Algorithm Based on DSP

Article Preview

Abstract:

A iris recognition system based on DSP is designed in this paper. A fast algorithm designed in this system for iris feature recognition. First, a point is given within the pupil randomly, and then calculate the radius from the edge detection. So the edge of pupil is drawn out. The same method is applied to find the edges of the iris. After fitting the edge, a cylindrical is drawn. The pretreatment of normalization and feature extraction is carried out using this arithmetic. This algorithm is simulated in Matlab. The results show that this algorithm is effective. In the end through program, this algorithm is run in the DSP. The run result shows it is efficient and stable.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

1067-1071

Citation:

Online since:

February 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Zhang Xiaoyu. The Iris Recognition Technology and Its Application in Identification, Inner Mongolia University, 2010 (In Chinese).

Google Scholar

[2] Nguyen Van, H. and K. Hakil. A Novel Circle Detection Method for Iris Segmentation, IEEE Proceedings of the 2008 Congress on Image and Signal Processing, Vol. 3, (2008).

DOI: 10.1109/cisp.2008.176

Google Scholar

[3] M. A. Mohamed, M. E. Abou-Elsoud, and M. M. Eid. An Efficient Algorithm in Extracting Human Iris Morphological Features, IEEE International Conference on Networking and Media Convergence (ICNM), pp.146-150, (2009).

DOI: 10.1109/icnm.2009.4907207

Google Scholar

[4] U. Gawande, M. Zaveri, and A. Kapur. Improving Iris Recognition Accuracy by Score Based Fusion Method, International Journal of Advancements in Technology (IJoAT), ISSN 0976-4860, Vol 1, No 1, June, (2010).

Google Scholar

[5] M. Shamsi, P. Bt Saad, S. Bt Ibrahim and A. Rasouli. Iris Boundary Detection Using a Novel Algorithm, Proceedings of the 9th WSEAS International Conference on Applications of Computer Engineering, (2010).

Google Scholar