|Project Description: ||One of the most reliable biometric identification methods is fingerprint verification, which is in use over a century all over the world. Fingerprint verification became inexpensive, more reliable and less time consuming after the introduction of Automatic Fingerprint Identification System (AWIS). Today, fingerprints are used broadly as an authentication to access a computer, bank account, building, car etc apart from identifying criminals, which was the major use of fingerprints years ago. There are several algorithms available for fingerrint verification. This project aims at verifying the reference fingerprint against target fingerprint using Mutual Information algorithm where the input images undergo translation and rotation process in the preprocessing stage and calculates the mutual information value for each step of rotation and translation. The ultimate aim is to find the best alignment of fignerprints by maximizing the mutual information value.