Performance Analysis of Fingerprint Based Image Enhancement and Minutiae Extraction

Rajneesh Jain, Sheelesh Kr. Sharma, Pankaj Agrawal

Abstract


Extracting minutiae from fingerprint images is one of the most important steps in automatic fingerprint identification and classification. Minutiae are local discontinuities in the fingerprint pattern, mainly terminations and bifurcations. In this work we have propose a method for fingerprint image enhancement. Using histogram equalization over filtering and then minutia are calculated. The   results   achieved   are compared   with   those   obtained   through   some   other methods.  The Results show some improvement in the minutiae extraction in terms of quantity.

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References


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DOI: https://doi.org/10.23956/ijarcsse.v8i5.663

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