An Improved Iris Recognition System Using Feature Extraction Based on Wavelet Maxima Moment Invariants

  • Makram Nabti
  • Ahmed Bouridane
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4642)

Abstract

Human recognition technology based on biometrics has received increasing attention over the past decade. Iris recognition is considered to be the most reliable biometric authentication system and is becoming the most promising technique for high security. In this paper, we propose a multiscale approach for iris localization by using wavelet modulus maxima for edge detection, a fast and a compact method for iris feature extraction based on wavelet maxima components and moment invariants. The features are represented as feature vector, thus allowing us to also propose a fast matching scheme based on exclusive OR operation. Experimental results have shown that the performance of the proposed method is very encouraging and comparable to the well known methods used for iris texture analysis.

Keywords

biometrics iris recognition multiscale edge detection wavelet maxima moment invariants 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Makram Nabti
    • 1
  • Ahmed Bouridane
    • 1
  1. 1.Institute for Electronics, Communications and Information Technology (ECIT), School of Electronics, Electrical Engineering and Computer Science, Queen’s University Belfast, Northern Ireland, BT7 1NNUK

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