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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.
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