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 sources and typically better recognition performance compare to
system based on a single biometric modality. This paper proposes an
authentication method for a multimodal biometric system identification using
two traits i.e. face and palmprint. The proposed system is designed for
application where the training data contains a face and palmprint.