—Iris recognition system provides an approach for individual identification and is regarded as the sophisticated biometric identification system. Therefore, the exclusive features of iris patterns should be extracted and processed. In this paper, a new feature extraction method according to ridgelet transform for identifying the iris images is provided. At first, after segmentation and normalization the collarette area of iris images has been extracted. Then we improve the quality of image by using median filter, histogram equalization, and the two-dimensional (2-D) Wiener filter as well. Finally, ridgelet transform is employed for extracting features and then, the binary bit stream vector is generated. The Hamming distance (HD) between the input bit stream vector and stored vectors is calculated for iris identification. The experimental results show efficiency of the proposed method.
—Iris identification, ridgelet transform.
The authors are with the Electrical Engineering Department, Islamic Azad University, South Tehran Branch Tehran, Iran (e-mail: email@example.com).
Cite:Mojtaba Najafi and Sedigheh Ghofrani, "A New Iris Identification Method Based on Ridgelet Transform," International Journal of Computer Theory and Engineering vol. 5, no. 4, pp. 633-637, 2013.