Iris Recognition Using Rotational Complex Wavelet Filters: A novel approach
Rajesh Mungasaji Bodade, Sanjay Nilkanth Talbar, Shailendra K. Ojha · 2008
In this paper, authors have proposed a novel approach of feature extraction of iris image using multi-directional wavelets obtained by combination of 2D Dual Tree Rotated Complex Wavelet Filters (RCWF) and 2D Dual Trace Complex wavelet Transform(CWT). This method provide features in 12 directions against 3 and 6 directions in DWT and CWT respectively. Iris features are obtained by computing energies and standard deviation of detailed coefficient subbands in 12 directions per stage, at 3 level of decomposition. Canbera distance is used for matching. The results are obtained using DWT, CWT combination of CWT and RCWF on UBIRIS database of 24000 image. The performance measure, ZeroFAR, is reduced from 6.3 using DWT to 2.6 using proposed method. The results are also comparable with the Daughman method. The method is also computationally efficient as compared to Gabor Filters.