Minutiae Based Fingerprint Matching for Identification and Verification

Deepika Sahu, Rashmi Shrivas

Abstract: Fingerprints play distinguishing role in biometrics. They give unique identification to the individual. They are permanent and non changing character pattern. The fingerprint recognition consists of retrieving specific fingerprints from database. The characteristics or features of a fingerprint are extracted and used in identification process. In this paper, a minutiae based algorithm is discussed briefly for voting system. Proposed system aims implements a voting system using minutiae based algorithm with low FRR Rate. It is done by comparing a fingerprint against another fingerprint. For this multiple features are used for better matching accuracy. This approach mainly uses sample fingerprint images for extraction of minutiae points and then performing fingerprint matching. Our paper involves image enhancement, feature extraction and minutiae matching. It finally results matched fingerprint after real minutiae calculation.

Keywords: Fingerprint, FRR, Minutiae based algorithm, Voting System, Feature Extraction