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Authors: João C. Monteiro and Jaime S. Cardoso

Affiliation: Universidade do Porto, Portugal

ISBN: 978-989-758-069-7

Keyword(s): Biometrics, Periocular Recognition, Universal Background Model, SIFT, Gaussian Mixture Models.

Related Ontology Subjects/Areas/Topics: Applications ; Biomedical Engineering ; Biomedical Signal Processing ; Biometrics ; Biometrics and Pattern Recognition ; Multimedia ; Multimedia Signal Processing ; Pattern Recognition ; Telecommunications

Abstract: The rising challenges in the fields of iris and face recognition are leading to a renewed interest in the area. In recent years the focus of research has turned towards alternative traits to aid in the recognition process under less constrained image acquisition conditions. The present work assesses the potential of the periocular region as an alternative to both iris and face in such scenarios. An automatic modeling of SIFT descriptors, regardless of the number of detected keypoints and using a GMM-based Universal Background Model method, is proposed. This framework is based on the Universal Background Model strategy, first proposed for speaker verification, extrapolated into an image-based application. Such approach allows a tight coupling between individual models and a robust likelihood-ratio decision step. The algorithm was tested on the UBIRIS.v2 and the MobBIO databases and presented state-of-the-art performance for a variety of experimental setups.

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Paper citation in several formats:
C. Monteiro, J. and S. Cardoso, J. (2015). Periocular Recognition under Unconstrained Settings with Universal Background Models.In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2015) ISBN 978-989-758-069-7, pages 38-48. DOI: 10.5220/0005195900380048

@conference{biosignals15,
author={João C. Monteiro. and Jaime S. Cardoso.},
title={Periocular Recognition under Unconstrained Settings with Universal Background Models},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2015)},
year={2015},
pages={38-48},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005195900380048},
isbn={978-989-758-069-7},
}

TY - CONF

JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2015)
TI - Periocular Recognition under Unconstrained Settings with Universal Background Models
SN - 978-989-758-069-7
AU - C. Monteiro, J.
AU - S. Cardoso, J.
PY - 2015
SP - 38
EP - 48
DO - 10.5220/0005195900380048

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