Fingerprint Recognition using Texture FeaturesJournal: International Journal of Science and Research (IJSR) (Vol.2, No. 12)
Publication Date: 2013-12-05
Authors : Manidipa Saha; Jyotismita Chaki; Ranjan Parekh;
Page : 265-270
Keywords : Fingerprint recognition; entropy; correlation; wavelet energy;
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.
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