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Authors: Alberto de Santos Sierra 1 ; Javier Guerra Casanova 1 ; Carmen Sánchez Ávila 2 and Vicente Jara Vera 2

Affiliations: 1 Centro de Domótica Integral, Spain ; 2 Polytechnical University of Madrid, Spain

ISBN: 978-989-674-018-4

Keyword(s): Biometric iris recognition, Synthetic iris images, Iris falsification, Security, Evolutionary strategies.

Related Ontology Subjects/Areas/Topics: Applications ; Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Biometrics ; Biometrics and Pattern Recognition ; Cybernetics and User Interface Technologies ; Data Manipulation ; Devices ; Evolutionary Systems ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Information and Systems Security ; Methodologies and Methods ; Multimedia ; Multimedia Signal Processing ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Soft Computing ; Telecommunications

Abstract: Synthetic Biometric is emerging nowadays as a new research field in biometrics. An artificial iris tissue or a synthetic fingerprint could compromise the security, allowing a non-registered individual to enter the system. However, inverse biometric can also improve current identification systems, enhancing not only its strength against fake-based attacks, but also by replicating unavailable or corrupted data, due to a bad acquisition, for instance. The methods proposed in this document aim to provide a procedure to create a synthetic iris tissue from a stored biometric template, so that a non-registered user could access the system under a registered identity. These algorithms will come out with the result that synthetic sample could be so similar to original as desired.

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Paper citation in several formats:
de Santos Sierra A.; Guerra Casanova J.; Sánchez Ávila C.; Jara Vera V. and (2010). SYNTHETIC IRIS IMAGES FROM IRIS PATTERNS BY MEANS OF EVOLUTIONARY STRATEGIES - How to Deceive a Biometric System based on Iris Recognition.In Proceedings of the Third International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2010) ISBN 978-989-674-018-4, pages 194-201. DOI: 10.5220/0002706601940201

@conference{biosignals10,
author={Alberto {de Santos Sierra} and Javier {Guerra Casanova} and Carmen {Sánchez Ávila} and Vicente {Jara Vera}},
title={SYNTHETIC IRIS IMAGES FROM IRIS PATTERNS BY MEANS OF EVOLUTIONARY STRATEGIES - How to Deceive a Biometric System based on Iris Recognition},
booktitle={Proceedings of the Third International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2010)},
year={2010},
pages={194-201},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002706601940201},
isbn={978-989-674-018-4},
}

TY - CONF

JO - Proceedings of the Third International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2010)
TI - SYNTHETIC IRIS IMAGES FROM IRIS PATTERNS BY MEANS OF EVOLUTIONARY STRATEGIES - How to Deceive a Biometric System based on Iris Recognition
SN - 978-989-674-018-4
AU - de Santos Sierra, A.
AU - Guerra Casanova, J.
AU - Sánchez Ávila, C.
AU - Jara Vera, V.
PY - 2010
SP - 194
EP - 201
DO - 10.5220/0002706601940201

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