Fingerprint Recognition using Texture Features

Journal Title: UNKNOWN - Year 2013, Vol 2, Issue 12

Abstract

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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  • EP ID EP339125
  • DOI -
  • Views 82
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How To Cite

(2013). Fingerprint Recognition using Texture Features. UNKNOWN, 2(12), -. https://europub.co.uk/articles/-A-339125