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With increasing security threats, biometrics is gaining increasing attention. However a biometric recognition system good for one case study may not be accurate for the other one. One solution to the problem is to efficiently combine various classifiers to achieve a much better recognition rate as compared to the participating experts. In this context the Dempster Shafer theory of evidence (DST) has shown some promising results; however the DST has not yet been explored for the problem of biometric recognition systems. In this work we have proposed three novel algorithms to combine different...