Smart Phone and Next Generation Mobile Computing

478 Smart Phone and Next-Generation Mobile Computing

shape of a person’s hand for verification rather than identification

because hand geometry is not unique among human beings.

It is also possible to combine multiple low-cost biometric meth-

ods to improve the accuracy of the recognition system. These so-

called multimodal biometric systems are particularly advantageous

compared to single modal systems when a feature of a person can-

not be collected as identification. BioID, developed by HumanScan,

is an example of such systems. BioID uses face (static features), voice,

and lip movement (dynamic features) to provide identity authentica-

tion. Multimodal biometric systems are generally targeting desktop

security applications and are not suitable for