Previous [ 1] [ 2] [ 3] [ 4] [ 5] [ 6] [ 7] [ 8] [ 9] [ 10] [ 11] [ 12] [ 13] [ 14] [ 15] [ 16] [ 17] [ 18] [ 19] [ 20]

@

Journal of Information Science and Engineering, Vol. 25 No. 2, pp. 633-648 (March 2009)

Iris Recognition Using Gabor Filters and the Fractal Dimension

C. C. Tsai, J. S. Taur and C. W. Tao+
Department of Electrical Engineering
National Chung Hsing University
Taichung, 402 Taiwan
+Department of Electrical Engineering
National I-Lan University
I-Lan, 260 Taiwan

Iris recognition is an emerging noninvasive biometric technology. The iris is very suitable for the verification and the identification of humans due to its distinctive and stable spatial patterns. In this paper, we propose an effective iris recognition algorithm which adopts a bank of Gabor filters combined with the estimated fractal dimension. After the preprocessing procedure, the normalized effective iris region is decomposed according to different frequency regions by the multi-channel Gabor filters. The texture information of the filtered images is obtained via the differential box-counting method. A feature selection scheme is then adopted to remove the unimportant features to reduce the amount of data and improve the performance. The experimental results on the CASIA database show that the proposed method has a very high recognition rate.

Keywords: biometrics, iris recognition, Gabor filters, fractal dimension, feature selection

Full Text () Retrieve PDF document (200903_19.pdf)

Received May 14, 2007; revised October 14, 2007; accepted November 12, 2007.
Communicated by Pau-Choo Chung.