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Authors: Daniel Riccio 1 and Maria De Marsico 2

Affiliations: 1 University of Salerno, Italy ; 2 Sapienza Università di Roma, Italy

Keyword(s): Iris Recognition, Linear Binary Pattern, BLOB.

Related Ontology Subjects/Areas/Topics: Classification ; Feature Selection and Extraction ; Pattern Recognition ; Theory and Methods

Abstract: Present iris recognition techniques allow very high recognition performances in controlled settings and with cooperating users; this makes iris a real competitor to other biometric traits like fingerprints, with the further advantage of requiring a contactless acquisition. Moreover, most of the existing approaches are designed for Near Infrared or Hyperspectral images, which are less affected by changes in illumination conditions. Current research is focusing on designing new techniques aiming to ensure high accuracy even on images acquired in visible light and in adverse conditions. This paper deals with an approach to iris matching based on the combination of local features: Linear Binary Patterns (LBP) and discriminable textons (BLOBs). Both these technique have been readapted in order to deal with images captured in variable visible light conditions, and affected by noise due to distance/resolution or to scarce user collaboration (blurring, off-axis iris, occlusion by eyelashes a nd eyelids). The obtained results are quite convincing and strongly motivate the addition of more local features. (More)

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Paper citation in several formats:
Riccio, D. and De Marsico, M. (2012). IRIS RECOGNITION IN VISIBLE LIGHT DOMAIN. In Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM; ISBN 978-989-8425-98-0; ISSN 2184-4313, SciTePress, pages 55-62. DOI: 10.5220/0003763500550062

@conference{icpram12,
author={Daniel Riccio. and Maria {De Marsico}.},
title={IRIS RECOGNITION IN VISIBLE LIGHT DOMAIN},
booktitle={Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM},
year={2012},
pages={55-62},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003763500550062},
isbn={978-989-8425-98-0},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM
TI - IRIS RECOGNITION IN VISIBLE LIGHT DOMAIN
SN - 978-989-8425-98-0
IS - 2184-4313
AU - Riccio, D.
AU - De Marsico, M.
PY - 2012
SP - 55
EP - 62
DO - 10.5220/0003763500550062
PB - SciTePress

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