An Efficient Fingerprint Enhancement System using Fuzzy Based Filtering Technique

Fingerprint identification is one of the salient areas in biometric identification system. The quality of the fingerprint image is imperative for a veracious matching process. Normally, the contrast of the image is improved during the preprocessing phase of fingerprint matching. Contrast refers to the difference between two contiguous pixels. There are several enhancement techniques available for fingerprint identification. But, these existing techniques are very complex and inefficacious. Hence, in order to conquer the drawbacks of existing techniques, we proposed an efficient and robust fingerprint enhancement technique via fuzzy based filtering. In this paper, a fuzzy modeling approach is employed for removing the noise as well as for improving the luminosity of the ridges. Moreover, the fuzzy filter values are evaluated and superior results are produced in the image domain. The probabilities of gray values are measured from the position of the input image pixel. Finally, the result shows the enhanced performance of the proposed fuzzy filtering technique.