ANALYSIS OF BIPARTITE RANKBOOST APPROACH FOR SCORE LEVEL FUSION OF FACE AND PALMPRINT BIOMETRICS

Biometrics based personal identification is regarded as an effective method for automatically recognizing, with a high confidence a person’s identity. A multimodal biometric systems consolidate the evidence presented by multiple biometric source s and typically better recognition performance compare to system based on a single biometric modal ity. This paper proposes an authentication method for a multimodal biometric system identification using two biometric types i.e. face and palmprint. The proposed system is designed for application where the training data contains a face and palm print.