  Essentially a biometric system is a pattern recognition system which
recognizes a user by determining the authenticity of a specific anatomical or
behavioral characteristic possessed by the user. With the ever increasing
integration of computers and Internet into daily life style, it has become
necessary to protect sensitive and personal data. This paper proposes a
multimodal biometric system which incorporates more than one biometric trait to
attain higher security and to handle failure to enroll situations for some
users. This paper is aimed at investigating a multimodal biometric identity
system using Linear Discriminant Analysis as backbone to both facial and speech
recognition and implementing such system in real-time using SignalWAVE.
