Paper Details: Downloads: 447
Serial Number: P1150518003
Title: Application of Wavelet Footprints for Fingerprint Compression
Authors: R. Sudhakar and N. Vignesh and S. Jayaraman
Abstract: Large volumes of fingerprints are collected and stored every day in a wide range of applications, including forensics, access control etc.,It is evident from the database of Federal Bureau of Investigation (FBI) which contains more than 70 million finger prints. Wavelet based Algorithms for image Compression is most successful in recent years. A new representation of these 2D (Image) signals called as wavelet footprints are the finite scale space vectors containing all the wavelet coefficients generated by particular polynomial discontinuities. Together with the scaling coefficients (approximation), footprints can represent any piecewise polynomial signals. Footprints are formed from the cone of influence of the given signal’s discontinuity. In this paper the focus is much on the novel compression scheme by combining wavelet Footprints with Non-linear Approximation (NLA). The results for the Compression Algorithm based on wavelet footprints shows that there is a gradual improvement in the Compression Ratio (CR) and Peak Signal to Noise Ratio(PSNR) over the Set partitioning in Hierarchical Trees (SPIHT) Algorithm
Keywords: Image Compression, scaling coefficients Piecewise polynomial signal, Footprints, Cone of influence, NLA
Journal/Conference: International Journal of Graphics, Vision and Image Processing
Volume: 5
Issue: 6
Submission Date: 2/1/2005 12:00:00 AM
Review Date: 3/1/2005 12:00:00 AM
Publishing Date: 6/1/2005 12:00:00 AM
Article Downloads: 447
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