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Authors: Ana F. Sequeira 1 ; João C. Monteiro 1 ; Ana Rebelo 2 and Hélder P. Oliveira 2

Affiliations: 1 INESC TEC and Universidade do Porto, Portugal ; 2 INESC TEC, Portugal

Keyword(s): Biometrics, Multimodal, Database, Portable Handheld Devices.

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: Biometrics represents a return to a natural way of identification: testing someone by what (s)he is, instead of relying on something (s)he owns or knows seems likely to be the way forward. Biometric systems that include multiple sources of information are known as multimodal. Such systems are generally regarded as an alternative to fight a variety of problems all unimodal systems stumble upon. One of the main challenges found in the development of biometric recognition systems is the shortage of publicly available databases acquired under real unconstrained working conditions. Motivated by such need the MobBIO database was created using an Asus EeePad Transformer tablet, with mobile biometric systems in mind. The proposed database is composed by three modalities: iris, face and voice.

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Paper citation in several formats:
Sequeira, A.; Monteiro, J.; Rebelo, A. and Oliveira, H. (2014). MobBIO: A Multimodal Database Captured with a Portable Handheld Device. In Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014) - Volume 3: VISAPP; ISBN 978-989-758-009-3; ISSN 2184-4321, SciTePress, pages 133-139. DOI: 10.5220/0004679601330139

@conference{visapp14,
author={Ana F. Sequeira. and João C. Monteiro. and Ana Rebelo. and Hélder P. Oliveira.},
title={MobBIO: A Multimodal Database Captured with a Portable Handheld Device},
booktitle={Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014) - Volume 3: VISAPP},
year={2014},
pages={133-139},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004679601330139},
isbn={978-989-758-009-3},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014) - Volume 3: VISAPP
TI - MobBIO: A Multimodal Database Captured with a Portable Handheld Device
SN - 978-989-758-009-3
IS - 2184-4321
AU - Sequeira, A.
AU - Monteiro, J.
AU - Rebelo, A.
AU - Oliveira, H.
PY - 2014
SP - 133
EP - 139
DO - 10.5220/0004679601330139
PB - SciTePress