Human fingerprints have been considered as a unique signature certifying one's identity. Fingerprint verification is currently the most popular technique of biometric personal identification. As a biometric proof of identification, an alignment-based minutiae matching algorithm has been widely investigated, however, not many have considered fingerprint identification using image based verification. An image-based approach does not use minutiae features for fingerprint matching. This project investigates fingerprint-scanned image verification via scanning process. The input fingerprint image and the stored enrolled template are compared and preprocessed before making a decision, with higher computational efficiency than the minutiae-based method. It has the ability of robust fingerprint verification subject to external conditions.