A Multimodal User Authentication System Using Faces and Gestures

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 fac...

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Bibliographic Details
Published in:BioMed research international 2015-01, Vol.2015 (2015), p.1-8
Main Authors: Choi, Hyunsoek, Park, Hyeyoung
Format: Article
Language:English
Subjects:
Accelerometers
Authentication
Biometric Identification - methods
Biometric research
Biometrics
Computer engineering
Computer science
Computer Security
Decision making
Face - anatomy & histology
Gesture
Gestures
Humans
Image Interpretation, Computer-Assisted - methods
Multimodal Imaging - methods
Pattern Recognition, Automated - methods
Photography - methods
Reproducibility of Results
Sensitivity and Specificity
Sensors
Subtraction Technique
User-Computer Interface
Video Recording - methods
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Description
Summary: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.
ISSN:2314-6133
2314-6141
DOI:10.1155/2015/343475