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