A New False Minutia Removal Based Fingerprint Identification Technique

Sahil Guglani


Fingerprints marks are the most extensively used biometric feature for Human identification and verification in the field of biometrics till today. There are two main types of features that are used for fingerprint identification that are ridge and furrow pattern. The location and orientation of each minutiae is unique which is acquired and used for further references. This paper presents the implementation and defining of a minutiae based approach to identify fingerprints and serves as a review of the different steps involved in the development of minutiae based Automatic Fingerprint Identification System (AFIS). The technique described in this paper is based on a new case of removal of the false minutia extracted from the fingerprint image which is binarized and thinned as a part of pre-processing.



Fingerprint, Enhancement, Fake Minutia, Minutiae Extraction, Minutiae Matching

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DOI: https://doi.org/10.26483/ijarcs.v6i6.5996


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