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The performance of the Fingerprint recognition system will be more accuratewith respect of enhancement for the fingerprint images. In this paper wedevelop a novel method for Fingerprint image contrast enhancement techniquebased on the discrete wavelet transform (DWT) and singular value decomposition(SVD) has been proposed. This technique is compared with conventional imageequalization techniques such as standard general histogram equalization andlocal histogram equalization. An automatic histogram threshold approach basedon a fuzziness measure is presented. Then, using an index of fuzziness, asimilarity process is started to find the threshold point. A significantcontrast between ridges and valleys of the best, medium and poor finger imagefeatures to extract from finger images and get maximum recognition rate usingfuzzy measures. The experimental results show the recognition of superiority ofthe proposed method to get maximum performance up gradation to theimplementation of this approach.

Fingerprint: DWT, SVD Based Enhancement and Significant Contrast for Ridges and Valleys Using Fuzzy Measures