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Fingerprint Recognition using Texture Features

Journal: International Journal of Science and Research (IJSR) (Vol.2, No. 12)

Publication Date:

Authors : ; ; ;

Page : 265-270

Keywords : Fingerprint recognition; entropy; correlation; wavelet energy;

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This paper proposes an efficient scheme of fingerprint recognition for biometric identification of individuals. Three statistical features are extracted from fingerprint images and represented using a mathematical model. These features are (1) an entropy coefficient, computed from the intensity histogram of the image, (2) a correlation coefficient, computed by correlation operation between the original image and a filtered version of the image obtained using a 2D median filter, and (3) an energy coefficient, obtained by first subjecting the image to a 5-level wavelet decomposition and thereafter computing the percentage energy of the approximation coefficient obtained after the 5th level decomposition. The approach is tested over a dataset of 80 images divided into 10 classes and is seen to provide accurate recognition results.

Last modified: 2021-06-30 20:24:15