Letters: Bimodal biometric verification based on face and lips

Authors:
Carlos M. Travieso;Jianguo Zhang;Paul Miller;Jesús B. Alonso;Miguel A. Ferrer
Affiliations:
Signals and Communications Department, Institute for Technology Development and Innovation in Communication, University of Las Palmas de Gran Canaria, Campus de Tafira, Edificio de Telecomunicaci& ...;School of Computing, University of Dundee, Dundee DD1 4HN, Scotland, United Kingdom;The Institute of Electronics, Communications and Information Technology, Queen`s University Belfast, Northern Ireland Science Park, Queen's Road, Queen's Island BT3 9DT, Belfast, United Kingdom;Signals and Communications Department, Institute for Technology Development and Innovation in Communication, University of Las Palmas de Gran Canaria, Campus de Tafira, Edificio de Telecomunicaci& ...;Signals and Communications Department, Institute for Technology Development and Innovation in Communication, University of Las Palmas de Gran Canaria, Campus de Tafira, Edificio de Telecomunicaci& ...
Venue:
Neurocomputing
Year:
2011

Citing 8
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Abstract

In this paper, we present a novel approach to person verification by fusing face and lip features. Specifically, the face is modeled by the discriminative common vector and the discrete wavelet transform. Our lip features are simple geometric features based on a lip contour, which can be interpreted as multiple spatial widths and heights from a center of mass. In order to combine these features, we consider two simple fusion strategies: data fusion before training and score fusion after training, working with two different face databases. Fusing them together boosts the performance to achieve an equal error rate as low as 0.4% and 0.28%, respectively, confirming that our approach of fusing lips and face is effective and promising.