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Authors: Ana F. Sequeira 1 ; Juliano Murari 2 and Jaime S. Cardoso 1

Affiliations: 1 INESC TEC and Universidade do Porto, Portugal ; 2 Universidade Federal de S. Paulo, Brazil

ISBN: 978-989-758-009-3

Keyword(s): Biometrics, Iris, Liveness Detection, Fake Database, Handheld Device.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Computer Vision, Visualization and Computer Graphics ; Image Formation and Preprocessing ; Image Formation, Acquisition Devices and Sensors ; Mobile Imaging

Abstract: Biometric systems are vulnerable to different kinds of attacks. Particularly, the systems based on iris are vulnerable to direct attacks consisting on the presentation of a fake iris to the sensor trying to access the system as it was from a legitimate user. The analysis of some countermeasures against this type of attacking scheme is the problem addressed in the present paper. Several state-of-the-art methods were implemented and included in a feature selection framework so as to determine the best cardinality and the best subset that conducts to the highest classification rate. Three different classifiers were used: Discriminant analysis, K nearest neighbours and Support Vector Machines. The implemented methods were tested in existing databases for iris liveness purposes (Biosec and Clarkson) and in a new fake database which was constructed for evaluation of iris liveness detection methods in the mobile scenario. The results suggest that this new database is more challenging than th e others. Therefore, improvements are required in this line of research to achieve good performance in real world mobile applications. (More)

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Paper citation in several formats:
Sequeira, A.; Murari, J. and Cardoso, J. (2014). Iris Liveness Detection Methods in Mobile Applications.In Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2014) ISBN 978-989-758-009-3, pages 22-33. DOI: 10.5220/0004691800220033

@conference{visapp14,
author={Ana F. Sequeira. and Juliano Murari. and Jaime S. Cardoso.},
title={Iris Liveness Detection Methods in Mobile Applications},
booktitle={Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2014)},
year={2014},
pages={22-33},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004691800220033},
isbn={978-989-758-009-3},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2014)
TI - Iris Liveness Detection Methods in Mobile Applications
SN - 978-989-758-009-3
AU - Sequeira, A.
AU - Murari, J.
AU - Cardoso, J.
PY - 2014
SP - 22
EP - 33
DO - 10.5220/0004691800220033

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