Biometric based systems are commonly used for verification and identification of an individual. The most common biometric trait used because of high disparateness and high performance are fingerprints, iris and face. Fingerprint may get degraded or corrupted because of diversity in skin, noise and impression conditions. Thus, to concur this situation and obtain an effective minutiae location estimation, image enhancement techniques are required. In this paper, the experiment has been done on the fingerprint image enhancement using the Gabor filter. The local frequency and orientation information can be obtained by tuning the Gabor filter to a specific frequency and direction, so that the extracted texture information could improve the quality of image. The algorithm has been developed using Open CV & has been tested on the live fingerprint Images obtained by using DACTYScan84c scanner.