The Viterbi algorithm at different resolutions for enhanced iris segmentation

Guillaume Sutra, Sonia Garcia-Salicetti, Bernadette Dorizzi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We propose in this paper a novel method for iris segmentation. In order to retrieve iris contours, the Viterbi algorithm is applied on the gradient map of images processed by Anisotropic Smoothing. The Viterbi algorithm is exploited at two resolutions: at a high resolution, it allows finding precise contours, while at a low resolution, coarse contours that improve the accuracy of normalization circles are retrieved. We tested the method on several databases (ICE 2005, NDIRIS-0405, Casia-V3-Interval). Our extensive experiments on such databases lead to performance at the state of the art, while the proposed method does not require a refined parameter adaptation to the various degradations encountered.

Original languageEnglish
Title of host publicationProceedings - 2012 5th IAPR International Conference on Biometrics, ICB 2012
Pages310-316
Number of pages7
DOIs
Publication statusPublished - 3 Oct 2012
Externally publishedYes
Event2012 5th IAPR International Conference on Biometrics, ICB 2012 - New Delhi, India
Duration: 29 Mar 20121 Apr 2012

Publication series

NameProceedings - 2012 5th IAPR International Conference on Biometrics, ICB 2012

Conference

Conference2012 5th IAPR International Conference on Biometrics, ICB 2012
Country/TerritoryIndia
CityNew Delhi
Period29/03/121/04/12

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