Mythili, P; Shanavaz, K T(Taylor & Francis, September 13, 2012)
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Abstract:
In this article, techniques have been presented for faster evolution of wavelet
lifting coefficients for fingerprint image compression (FIC). In addition to
increasing the computational speed by 81.35%, the coefficients performed much
better than the reported coefficients in literature. Generally, full-size images are
used for evolving wavelet coefficients, which is time consuming. To overcome
this, in this work, wavelets were evolved with resized, cropped, resized-average
and cropped-average images. On comparing the peak- signal-to-noise-ratios
(PSNR) offered by the evolved wavelets, it was found that the cropped
images excelled the resized images and is in par with the results reported till
date. Wavelet lifting coefficients evolved from an average of four 256 256
centre-cropped images took less than 1/5th the evolution time reported in
literature. It produced an improvement of 1.009 dB in average PSNR.
Improvement in average PSNR was observed for other compression ratios
(CR) and degraded images as well. The proposed technique gave better PSNR for
various bit rates, with set partitioning in hierarchical trees (SPIHT) coder. These
coefficients performed well with other fingerprint databases as well.
Description:
International Journal of Electronics, 2013
Vol. 100, No. 5, 655 -668
Mythili, P; Dileep, Lukose; Vijayakumari, C K; Rekha, James K(IEEE, June 4, 2013)
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Abstract:
This paper presents a new approach to the design of
combinational digital circuits with multiplexers using
Evolutionary techniques. Genetic Algorithm (GA) is used as the
optimization tool. Several circuits are synthesized with this
method and compared with two design techniques such as
standard implementation of logic functions using multiplexers
and implementation using Shannon’s decomposition technique
using GA. With the proposed method complexity of the circuit
and the associated delay can be reduced significantly
Description:
International Conference on Microelectronics, Communication and Renewable Energy (ICMiCR-2013)