Finger Print Analysis and Matching Using Fuzzy Logic Design
Fingerprint authentication is implemented using many algorithms, which are based either on minutiae analysis or non minutiae analysis. Preprocessing of the fingerprints is important for better accuracy. Preprocessing includes segmentation and noise removal, which are considered two major steps in preprocessing. In this paper segmentation is performed by using fuzzy logic system, as the edges of the finger print plays a major role in the authentication fuzzy logic analysis improves sharpness of edges. This preprocessed image is taken as the input, and then fingerprint authentication is performed on two modules analysis on matching percentage is determined.