Open Access

A Robust Iris Identification System Based on Wavelet Packet Decomposition and Local Comparisons of the Extracted Signatures

  • Florence Rossant1Email author,
  • Beata Mikovicova1,
  • Mathieu Adam1 and
  • Maria Trocan1
EURASIP Journal on Advances in Signal Processing20102010:415307

Received: 1 December 2009

Accepted: 18 March 2010

Published: 27 June 2010


This paper presents a complete iris identification system including three main stages: iris segmentation, signature extraction, and signature comparison. An accurate and robust pupil and iris segmentation process, taking into account eyelid occlusions, is first detailed and evaluated. Then, an original wavelet-packet-based signature extraction method and a novel identification approach, based on the fusion of local distance measures, are proposed. Performance measurements validating the proposed iris signature and demonstrating the benefit of our local-based signature comparison are provided. Moreover, an exhaustive evaluation of robustness, with regards to the acquisition conditions, attests the high performances and the reliability of our system. Tests have been conducted on two different databases, the well-known CASIA database (V3) and our ISEP database. Finally, a comparison of the performances of our system with the published ones is given and discussed.

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Authors’ Affiliations

LISITE (Laboratoire d'Informatique, Signal et Image, Electronique et Télécommunications), Institut Supérieur d'Electronique de Paris (ISEP), Paris, France


© Florence Rossant et al. 2010

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.