Research Paper | Computer Science & Engineering | India | Volume 2 Issue 12, December 2013
Fingerprint Recognition using Texture Features
Manidipa Saha, Jyotismita Chaki, Ranjan Parekh
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/search_index_results_paperid.php?id=02013578, Volume 2 Issue 12, December 2013, 265 - 270
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