Abstract: Fingerprint is a biometric that provides secure process to authenticate a person due to its permanent feature and uniqueness that stay behind throughout human life. It has been in used for more than 100 years as a result of its achievability, reliability, accuracy, and acceptability. Although there exist many algorithms for fingerprint authentication, there is still a need to close the gap of accurateness. Among the algorithm of fingerprint methods are minutiae matching and pattern matching method. A minutiae matching is widely used for fingerprint recognition and can be classified as ridge ending and ridge bifurcation. In this paper the minutiae extraction method was improved by combining it with image enhancement that includes noise reduction, smoothing, contrast stretching, histogram equalization, Fourier transform and edge enhancement. For the image preprocessing steps, we have used histogram equalization followed by Fast Fourier Transform to do the image enhancement and then image binerization is done by locally adaptive threshold method. This method presented a satisfactorily performance.
Keywords: Minutiae extraction, minutiae matching, fingerprint, biometrics, fingerprint enhancement.
Title: FINGER PRINT IDENTIFICATION USING REAL MINUTIAE EXTRACTION METHOD
Author: Ajay Singh Paraste
International Journal of Engineering Research and Reviews
ISSN 2348-697X (Online)
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