Abstract
Fingerprint verification is a commonly used modality in biometric identification and as such, Biometric fingerprint verification continues to be incorporated into many facets of world-wide society it is prudent that multiple factors in the image acquisition by accepted as ‘industry standards’ to facilitate and ensure the information security community can seamlessly integrate technologies.
There is also a need for both better understanding how fingerprint recognition system can better match against multiple fingers without creating the potential for greater security holes.
The impetus for this paper is the better understand the how combinations of multiple fingers affect match scores against a common thresh-hold and to determine, if one exists, an optimal number and combination of fingers to match against to create the lost possibility to both false accepts and false rejects.
