Fusion of Fingerprint, Palmprint and Iris for Person Identification

Multibiometric system used to enhanced accuracy of the authentication process and also reduce error rates such as FAR, FRR. Person identification required in many systems such as area-access control, PC login, e-commerce etc. The biometric system is most probably used for security purpose. Unimodal biometric and multimodal biometric are the two frameworks of biometric systems. A single biometric trait is used in unimodal system, where more than one biometric traits are used in multimodal system. Multimodal framework is more precise as contrast with unimodal biometric framework. In proposed multibiometric system three traits are combined such as fingerprint, plamprint & iris. The standard database is used to evaluate the proposed system. Various features are taken from every trait by using different features extraction algorithms. Matching score of these extracted features are calculated separately. These individual scores are combines together by using weighted fusion technique. As per the observation 95.23 % accuracy is achieved, which overcome the limitations of present system.