Palmprint & iris for a multibiometric authentication scheme using Log-Gabor filter response

The single biometric system may be inadequate for passive authentication either because of noise in data samples or because of unavailability of a sample at a given time. In order to overcome the limitation of the single biometric, a multiple biometric modalities are used. In this paper, palmprint and iris are integrated in order to construct an efficient multibiometric recognition system based on matching score level fusion and by using the technique of sum of score. This system tries to improve the recognition results of single biometric systems. The features of Iris and palmprint are extracted using Log Gabor filter. The Hamming Distance is used for matching of Iris or palmprint feature vector. We have evaluated the proposed scheme and we have compared it with the results of the single biometric using the same data. The experimental results showed that the designed system achieves an excellent recognition rate and provides more security than single biometric system.