Affiliation:
1. BVRIT Hyderabad College of Engineering for Women, India
Abstract
The main objective of the project is to implement fingerprint recognition because it is one of the most popular and reliable methods for human identification and because it makes use of minutiae, which are unique features found in fingerprints. The fingerprint is another type of biometric that is employed to recognize individuals and verify their identities. Extraction of information from fingerprint scans is among the most important steps in fingerprint recognition and classification. The proposed approach for the project relies on utilizing a variety of methods and algorithms to identify fingerprints using the ROI method (i.e., threshold & centroid algorithm). Two human fingerprints can be compared using ROI to determine which has more detail. The main method for highlighting the minute details of the sample fingerprint's fingerprint is FFT extraction. A percentage score is produced as a result of the minute data, and it indicates whether or not two fingerprints match. It was written in MATLAB code.
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