Title: Residual vector quantisation-based iris image compression

Authors: M. Mary Shanthi Rani

Addresses: Department of Computer Science and Applications, Gandhigram Rural Institute – Deemed University, Gandhigram-624 302, Tamilnadu, India

Abstract: Research in iris image compression was triggered by its wide application in biometric recognition system. Iris has become one of the three biometric identification technologies (other than fingerprint and face recognition) internationally standardised by International Civil Aviation Organization (ICAO) for use in future passports. In this paper, a novel approach has been proposed for compressing iris images and its performance has been found to outclass standard compression algorithms.

Keywords: iris images; biometric recognition; image compression; residual vector quantisation; RVQ; code book; k-means clustering; biometrics.

DOI: 10.1504/IJCISTUDIES.2014.067030

International Journal of Computational Intelligence Studies, 2014 Vol.3 No.4, pp.329 - 338

Received: 24 May 2013
Accepted: 02 Sep 2013
Published online: 31 Jan 2015 *

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