Person Identification Technique Using Human Iris Recognition

Christel-Loic Tisse 1 Lionel Martin 1 Lionel Torres 2 Michel Robert 2
1 UM - Université de Montpellier
2 SysMIC - Conception et Test de Systèmes MICroélectroniques
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Abstract : The biometric person authentication technique based on the pattern of the human iris is well suited to be applied to any access control system requiring a high level of security. This paper examines a new iris recognition system that implements (i) gradient decomposed Hough transform / integro-differential operators combination for iris localization and (ii) the "analytic image" concept (2D Hilbert transform) to extract pertinent information from iris texture. All these image-processing algorithms have been validated on noised real iris images database. The proposed innovative technique is computationally effective as well as reliable in terms of recognition rates.
Keywords : image-processing algorithm
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Journal articles
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-00269539
Contributor : Christine Carvalho de Matos <>
Submitted on : Monday, April 11, 2016 - 1:16:02 PM
Last modification on : Tuesday, June 26, 2018 - 1:18:36 AM
Long-term archiving on : Tuesday, July 12, 2016 - 11:46:14 AM

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Christel-Loic Tisse, Lionel Martin, Lionel Torres, Michel Robert. Person Identification Technique Using Human Iris Recognition. Vision Interface (VI2002), Canadian Image Processing and Pattern Recognition Society (CIPPRS), 2002, 15th International Conference on Vision Interface, pp.294-299. ⟨lirmm-00269539⟩

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