• Desai Nidhi

The efficacy of Fingerprint Recognition is intricately tied to the quality of the fingerprint image, given its reliance on digital image processing. Environmental conditions and scanner surfaces significantly influence the quality of these images. This study delves into the analysis of Fingerprint Recognition and Matching, highlighting the Minutiae-based matching technique as the optimal method for extracting crucial information about minutiae. In cases of partial or noisy images, the Region of Interest (ROI) proves instrumental in refining results. Fingerprint authentication finds widespread application in various sectors, including Attendance Systems and Bank Desktop Verification Logins. The Unique Identification (UID) project initiated by the Indian government underscores the use of fingerprints and retinas for identity recognition.The conclusion emphasizes the critical role of minutiae points in fingerprint recognition, advocating the use of a specified limited area (ROI) to mitigate errors swiftly. The efficiency of 'one to one matching' surpasses that of 'one to many matching' in terms of response time. Looking ahead, the future scope of Fingerprint Recognition based on Minutiae extends to diverse applications such as Mobile Computing, Bank ATMs, and Identity Verification

Fingerprint Image, identification, feature extraction, region of interest, feature matching, Feature extraction.

"A Minutiae Centric Approach to Fingerprint Recognition", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.4, Issue 3, page no.727-734, March-2017, Available :http://www.jetir.org/papers/JETIR1703124.pdf

"A Minutiae Centric Approach to Fingerprint Recognition", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.4, Issue 3, page no. pp727-734, March-2017, Available at : http://www.jetir.org/papers/JETIR1703124.pdf