A Method for the Identification of Inaccuracies in Pupil Segmentation

Authors:
Hugo Proenca;Luis A. Alexandre
Affiliations:
Universidade da Beira Interior, Covilha, Portugal;Universidade da Beira Interior, Covilha, Portugal
Venue:
ARES '06 Proceedings of the First International Conference on Availability, Reliability and Security
Year:
2006

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Abstract

In this paper we analyze the relationship between the accuracy of the segmentation algorithm and the error rates of typical iris recognition systems. We selected 1000 images from the UBIRIS database that the segmentation algorithm can accurately segment and artificially introduced segmentation inaccuracies. We repeated the recognition tests and concluded about the strong relationship between the errors in the pupil segmentation and the overall false reject rate. Based on this fact, we propose a method to identify these inaccuracies.