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Please use this identifier to cite or link to this item: http://dyuthi.cusat.ac.in/purl/4521

Title: An Improved Technique for Evolving Wavelet Coefficients for Fingerprint Image Compression
Authors: Mythili, P
Shanavaz, K T
Keywords: Wavelets
Lifting Scheme
Evolved transforms
Genetic algorithms
Thresholding
Image compression
Issue Date: 7-Oct-2010
Publisher: IEEE
Abstract: In this paper, an improved technique for evolving wavelet coefficients refined for compression and reconstruction of fingerprint images is presented. The FBI fingerprint compression standard [1, 2] uses the cdf 9/7 wavelet filter coefficients. Lifting scheme is an efficient way to represent classical wavelets with fewer filter coefficients [3, 4]. Here Genetic algorithm (GA) is used to evolve better lifting filter coefficients for cdf 9/7 wavelet to compress and reconstruct fingerprint images with better quality. Since the lifting filter coefficients are few in numbers compared to the corresponding classical wavelet filter coefficients, they are evolved at a faster rate using GA. A better reconstructed image quality in terms of Peak-Signal-to-Noise-Ratio (PSNR) is achieved with the best lifting filter coefficients evolved for a compression ratio 16:1. These evolved coefficients perform well for other compression ratios also.
Description: Communication Control and Computing Technologies (ICCCCT), 2010 IEEE International Conference on
URI: http://dyuthi.cusat.ac.in/purl/4521
Appears in Collections:P Mythili

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