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In this paper, authors have proposed a novel approach of feature extraction of iris images using combination of 2D Dual Tree Rotated Complex Wavelet Transform (RCWT) and 2D Dual Trace Complex Wavelet Transform(CWT). This method provides 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...
This paper presents a new feature extraction method for iris recognition. Since two dimensional complex wavelet transform (2D-CWT) does not only keep wavelet transformpsilas properties of multiresolution decomposition analysis and perfect reconstruction, but also adds its new merits: approximate shift invariance, good directional selectivity for 2-D image, and limited redundancy, which are useful...
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...
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