Fingerprint Recognition through Extracting and Matching Minutiae

Abstract

The performance of Fingerprint Recognition is totally dependent on the Fingerprint Image Quality, because Fingerprint Recognition is the processing of Digital Image. The quality of fingerprint images influences by both environmental and scanner's surface. This paper analyzes the Fingerprint Recognition, Matching. The Minutiae-based matching technique is the best method to extract useful information about Minutiae and if the image is partial or affected by noise then the ROI can be use to optimize the result. Authentication using fingerprint has been implementing in many areas (like Attendance System, Bank Desktop Verification Login). UID is the recent project of Govt. India focused on Recognition of Identity by using Fingerprint and Retina. The conclusion state about how minutiae points are important to recognize fingerprint and ROI (the specified limited area) to avoid error within less time. Whereas, 'one to one matching' can quickly reply compare to 'one to many matching'. Future scope of “Fingerprint Recognition based on Minutiae" has wide range of application areas such as Mobile Computing, Bank ATM, NAREGA Identity Verification, etc.