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A Hybrid Image Compression Technique using Symmetric Wavelet for Multi-Application Smart Card Application

by L. M. Palanivelu, P. Vijayakumar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 53 - Number 13
Year of Publication: 2012
Authors: L. M. Palanivelu, P. Vijayakumar
10.5120/8479-2419

L. M. Palanivelu, P. Vijayakumar . A Hybrid Image Compression Technique using Symmetric Wavelet for Multi-Application Smart Card Application. International Journal of Computer Applications. 53, 13 ( September 2012), 7-12. DOI=10.5120/8479-2419

@article{ 10.5120/8479-2419,
author = { L. M. Palanivelu, P. Vijayakumar },
title = { A Hybrid Image Compression Technique using Symmetric Wavelet for Multi-Application Smart Card Application },
journal = { International Journal of Computer Applications },
issue_date = { September 2012 },
volume = { 53 },
number = { 13 },
month = { September },
year = { 2012 },
issn = { 0975-8887 },
pages = { 7-12 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume53/number13/8479-2419/ },
doi = { 10.5120/8479-2419 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:53:59.532554+05:30
%A L. M. Palanivelu
%A P. Vijayakumar
%T A Hybrid Image Compression Technique using Symmetric Wavelet for Multi-Application Smart Card Application
%J International Journal of Computer Applications
%@ 0975-8887
%V 53
%N 13
%P 7-12
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper proposes an improved wavelet with approximating function which is symmetric in nature is proposed for compression technique. Multi-application smart cards are fast replacing the conventional cards such as driving license, health insurance card, identity card, credit card with a single card. Thus, the amount of data stored in the smart card is high, requiring methods to compress the data for effective usage of the cards. Segmentation of Region of Interest (ROI) is explored to achieve higher compression rate. The images are segmented by an extension of active contour segmentation model based on Particle Swarm Optimization (PSO) to optimize the segmentation as proposed in our previous work. The ROI and Non-ROI obtained is compressed using lossless and lossy compression respectively, using the proposed wavelet technique.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Multi-Application Smart cards Image Segmentation Image Compression Active contour model Particle Swarm Optimization Biorthogonal Wavelets

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