Decision Fusion based Person Identification System using Fingerprints and Facial Image with Template Matching

In this research, it has been developed a prototype biometric system which integrates facial images and fingerprints. The system overcomes the limitations of face recognition systems as well as fingerprint recognition systems. The integrated prototype system operates in the identification mode with an admissible response time. The identity established by the system is more reliable than the identity established by a face recognition system. In addition, the proposed decision fusion scheme enables performance improvement by integrating multiple features with different confidence measures. Experimental results demonstrate that the system performs well. It meet up the response time as well as the accuracy requirements.