A Multimodal Biometric Recognition System based on Fusion of Palmprint , Fingerprint and Face

Multibiometric recognition systems, which aggregate information from multiple biometric sources, are gaining popularity because they are able to overcome limitaions such as non-universality, noisy sensor data a nd susceptibility. Multibiometric systems promise significant improvements as higher accuracy and increased resistance to spoofing over the single biometric systems. This paper proposes a method which integrates fingerprint, palmprint and face and performs the fusion at score level. Three biometric traits are collected and stored into database at t he time of Enrollment. In the Authentication stage query images will be co mpared against the stored templates and match score is generated.AOV based minutiae algorithm is proposed for fingerprint matching. To compare Face images PCA analysis is used. Palmprint matching score can be generated usi ng PCA analysis. This matching score will be passed to the fusion stage. Fusion stage includes normalization of the s cores. Weights can be assigned according to the imp ortance of the biometric traits. These weighted and normalized sco re will be combined to generate a total score. This total score will be passed to the decision stage. In the decision stage total score will be compared with certain threshol d value. That will realize person’s authenticity whether a person is g enuine or imposter.