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Please use this identifier to cite or link to this item: http://dyuthi.cusat.ac.in/purl/4530

Title: Evolution of Better Wavelet Coefficients for Fingerprint Image Compression using cropped images
Authors: Mythili, P
Shanavaz, K T
Keywords: wavelet
lifting scheme
evolved transforms
genetic algorithms
image compression
Issue Date: 2012
Publisher: IEEE
Abstract: This paper explains the Genetic Algorithm (GA) evolution of optimized wavelet that surpass the cdf9/7 wavelet for fingerprint compression and reconstruction. Optimized wavelets have already been evolved in previous works in the literature, but they are highly computationally complex and time consuming. Therefore, in this work, a simple approach is made to reduce the computational complexity of the evolution algorithm. A training image set comprised of three 32x32 size cropped images performed much better than the reported coefficients in literature. An average improvement of 1.0059 dB in PSNR above the classical cdf9/7 wavelet over the 80 fingerprint images was achieved. In addition, the computational speed was increased by 90.18 %. The evolved coefficients for compression ratio (CR) 16:1 yielded better average PSNR for other CRs also. Improvement in average PSNR was experienced for degraded and noisy images as well
Description: 2012 International Conference on Advances in Computing and Communications
URI: http://dyuthi.cusat.ac.in/purl/4530
Appears in Collections:P Mythili

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