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 limitations such as non-universality, noisy sensor data and 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 the time of Enrollment.