Analysis on Fingerprint Extraction Using Edge detection and Minutiae Extraction

Biometrics authentication is performed as a method of unique identification and selective restrictions to access. Fingerprints are unique and permanent. Hence amidst the various authentication methods, fingerprints are considered to be the utmost level of reliability and are extensively used by forensic experts. The minutiae present in the fingerprints of a human provide adequate information. These practical details can be used as a mark of identification to verify the fingerprints. Minutiae matching is the widely used method for fingerprint detection and verification. This paper analyses the various advantages of the widely used minutiae-based matching in fingerprint recognition systems. Earlier methods focus only on regional detection but this process involves edge detection and minutiae extraction. Firstly, the fingerprint image is taken as the input and is converted to binary image for further processing. Further, the image is thinned and minutiae details are extracted. Finally, the matching score is obtained. This process helps to identify the correspondence between input minutiae and the custom minutiae without vigorous investigation.