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In this paper, we propose a sparse representation method for bimodal biometrics. The proposed method first accomplishes the feature level fusion by combining the samples of the two biometric traits into a real vector in advance. This method then considers that an approximate representation of the test sample might be more useful for classification and uses(More)
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