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BioMed Research International
Volume 2015 (2015), Article ID 343475, 8 pages
Research Article

A Multimodal User Authentication System Using Faces and Gestures

1School of Electrical Engineering and Computer Science, Kyungpook National University, Deagu 702-701, Republic of Korea
2School of Computer Science and Engineering, Kyungpook National University, Deagu 702-701, Republic of Korea

Received 26 September 2014; Accepted 19 November 2014

Academic Editor: Sabah Mohammed

Copyright © 2015 Hyunsoek Choi and Hyeyoung Park. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


As a novel approach to perform user authentication, we propose a multimodal biometric system that uses faces and gestures obtained from a single vision sensor. Unlike typical multimodal biometric systems using physical information, the proposed system utilizes gesture video signals combined with facial images. Whereas physical information such as face, fingerprints, and iris is fixed and not changeable, behavioral information such as gestures and signatures can be freely changed by the user, similar to a password. Therefore, it can be a countermeasure when the physical information is exposed. We aim to investigate the potential possibility of using gestures as a signal for biometric system and the robustness of the proposed multimodal user authentication system. Through computational experiments on a public database, we confirm that gesture information can help to improve the authentication performance.