Information Fusion of Biometrics Based-on Fingerprint, Hand-geometry and Palm-print

Since unimodal biometric systems based on single source of biometric information are always affected by problems such as noisy sensor data, no-universality and susceptibility to circumvention, using multimodal biometric systems that consolidate evidence from multiple biometric sources can remove some of these problems. In this paper, fingerprint, palm-print and hand-geometry are combined for person identity verification. Unlike other multimodal biometric systems, the user does not have to undergo the inconvenience of using two different sensors as three biometrics can be taken from the same image. Wavelet transform is employed to extract the features from fingerprint and palm-print and hand-geometry feature (such as width, length) is also extracted after the preprocessing phase. We employ feature fusion and mach score fusion together to establish identity. The system was tested on a database of 98 persons. The test performance results indicate the feasibility of the combination.