Abstract
Fingerprint images frequently have poor characteristics, because these traces are captured in crime places and are left on objects of different structure. For this reason, a lot of fingerprints have to be rejected they are useless in identification processes. Fortunately, in some cases, low quality fingerprints can be additionally analysed by means of special algorithms. In this paper, a new fingerprint enhancement method has been presented. In the proposed approach, quality of image is enhanced by means of convolution of a given image and Gaussian kernel. Finally, the local binarisation is applied. Results obtained from the experiments have demonstrated and presented the efficiency of the method.
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