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This paper presents rotation invariant technique for iris feature extraction and fused post-classification at the decision level to improve the performance under non-ideal environmental conditions. In this work, directional iris texture features based on two-dimensional (2D) Fast Discrete Curvelet Transform (FDCT) are computed. This approach divides the(More)
This paper presents a wavelet Kernel Fisher classifier (WKFC) for face recognition. Wavelet transform is used to derive the multiresolution based desirable facial features. Three level decomposition is used to form the pyramidal multiresolution features to cope with the variations due to illumination and facial expression changes. The Kernel principal(More)
—This paper presents a technique for face recognition which uses wavelet transform to derive desirable facial features. Three level decompositions are used to form the pyramidal multiresolution features to cope with the variations due to illumination and facial expression changes. The fractional power polynomial kernel maps the input data into an implicit(More)
The image intensity surface in an ideal fingerprint image contains a limited range of spatial frequencies, and mutually distinct textures differ significantly in their dominant frequencies. This paper presents a multiresolution feature based subspace technique for fingerprint recognition. The technique computes the core point of fingerprint and crops the(More)