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              <p>Nous proposons d'utiliser la technique des champs de Markov triplet (CMT) pour effectuer une segmentation non supervisée de la région périoculaire d'images considérées comme difficiles dans le cadre de la reconnaissance d'iris. Les résultats obtenus confirment l'intérêt de l'utilisation des CMTs par rapport aux champs de Markov caché (CMCs) et aux traditionnelles approches basées sur les gradients pour la segmentation d'iris. Nous avons en effet montré que la précision des cercles de normalisation est nettement améliorée en utilisant le modèle CMT malgré la qualité dégradée des images. Ces résultats sont prometteurs pour une intégration de ces approches dans les systèmes de vérification de l'iris.</p>
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