Research Paper | Computer Science & Engineering | India | Volume 2 Issue 12, December 2013
Fingerprint Recognition using Texture Features
Manidipa Saha, Jyotismita Chaki, Ranjan Parekh
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.
Keywords: Fingerprint recognition, entropy, correlation, wavelet energy
Edition: Volume 2 Issue 12, December 2013,
Pages: 265 - 270
How to Cite this Article?
Manidipa Saha, Jyotismita Chaki, Ranjan Parekh, "Fingerprint Recognition using Texture Features", International Journal of Science and Research (IJSR), https://www.ijsr.net/get_abstract.php?paper_id=02013578, Volume 2 Issue 12, December 2013, 265 - 270
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