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In this paper, the authors present a multimodal biometric verification system using multiple fingerprint matchers. The proposed verification system is based on multiple fingerprint matchers using spatial grey level dependence method and filter bank-based technique. The method independently extract fingerprint texture features to generate matching scores. These individual normalized scores are combined into a final score by the sum rule and the final score is eventually used to effect verification of a person as genuine or an imposter. The matching scores are used in two ways: in first case equal weights are assigned to each matching scores and in second case user specific weights are used.