title: A Multimodal User Authentication System Using Faces and Gestures.
abstract: 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.
authors.affiliation: School of Electrical Engineering and Computer Science, Kyungpook National University, Deagu 702-701, Republic of Korea.
authors.forename: Hyunsoek
authors.initials: H
authors.lastname: Choi
authors.affiliation: School of Computer Science and Engineering, Kyungpook National University, Deagu 702-701, Republic of Korea.
authors.forename: Hyeyoung
authors.initials: H
authors.lastname: Park
mesh_terms: D056667:Biometric Identification / Q000379:methods*; D016494:Computer Security; D005145:Face / Q000033:anatomy & histology*; D005868:Gestures; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods; D064847:Multimodal Imaging / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D010781:Photography / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013382:Subtraction Technique; D014584:User-Computer Interface; D014741:Video Recording / Q000379:methods