Multi Biometric System for Verification with Minimum Training Data

This paper presents the multi biometrics system for identity verification based on face and signature. The proposed system is designed for applications where the training database contains one face and one or two signature image for each individual. This system has three modules namely face recognition, signature recognition and multi-biometrics. In face recognition, first the face is detected using the triangulation algorithm and then it is recognized based on KDDA and the Haar wavelet algorithm. In signature recognition, the signature is matched with stored database image using the Haar wavelet. Multi-biometrics algorithm considers the results of face and signature recognition and gives the final matching result based on the fusion rule. This system is tested on a database prepared by the authors and the overall accuracy of the system is found to be 94.37%.