Fingerprint Image Compression Using Wave Atom Transform

This paper describes an approach to the compression of a Fingerprint images using new mathematical transform ,namely ,the wave atom transform that has proven to show promising results over wavelet transform and curvelet transform .Wavelets are well suited to point singularities ,however they have a problem with orientation selectivity, and therefore ,they do not represent two-dimensional singularities (e.g. . smooth curves) effectively .Curvelets require more coefficients to represent the image ,hence it contains higher redundant data. A comparison has been carried out among Wave atoms, Wavelets and Curvelets based compression techniques for Fingerprint image. A high quality image compression has been achieved for the considered image using wave atom technique .Wave atoms as a variant of 2D wavelet packets obeying the parabolic scaling wavelength ~(diameter) 2 implemented compression technique offers exact reconstruction ,prone to perturbations ,ease of implementation and low computational complexity compared to other existing compression techniques . It is proved that warped oscillatory images such as fingerprint image has sparser expansion in wave atoms than in other representations like wavelets and curvelets. Keywordscurvelet, waveatoms, wavelet, finger prints, compression, Transform.