It is a great achievement for us to digitally store and match digital fingerprint to recognize human. But still there are some significant modifications required to improve the quality of fingerprint recognition system's result. Most of the digital fingerprint image contains noise. This unwanted information can be removed using preprocessing by image enhancement which includes various types of filtering techniques and binarization. Then the postprocessing operation which includes the computations of minutiae points and minutiae matching operation is performed. The research work is analyzed by comparing the output of filters. It exposed that unsharp filter gives more output values as compared to other filters that is better for blur fingerprint images.