A research framework for a multimodal biometric authentication system
Chiung Ching Ho, Hu Ng, Chikkannan Eswaran · Siti Hasmah Digital Library-MMU Institutiona Repository (Multimedia University) · 2006
Biometric user authentication is seeing increasing use in access control systems, ranging from a simple employee attendance system to complex application such as an E-passport which utilizes fingerprints as an authenticator. There has been numerous attempts to make use of multiple biometric modality to be fused together in order to enhance the robustness and effectiveness already present in single biometric modality system. These authentication systems are known as multimodal biometric authentication systems (MMBAS). Current multimodal biometric research uses combination of modalities such as facial features, speech, retina patterns, thumb print, palm print, gait , handwriting etc. and so forth to improve on accuracy. This paper presents a research framework for a MMBAS which uses facial features, speech as well as gait. The research framework is intended to analyze how facial features, speech and gait features can be used together for an unobtrusive yet robust authentication system.