Fingerprint Image Enhancement using DWT Domain with Adaptive Gamma Parameter

Authors(3) :-K. Divya, K. Thangavel, K. Sasirekha

The efficiency of a fingerprint authentication system depends on the quality of the fingerprint image. Enhancement of the fingerprint image is indispensable to get a good quality image. In this paper, a novel method is proposed to enhance the fingerprint image using Adaptive Gamma Parameter with Discrete Wavelet Transform (DWT). An automatic transformation technique that improves the brightness of low quality images via the gamma correction and probability distribution of luminance pixels using DWT is presented. In this study, experiments have been conducted on the fingerprint database FVC2004. The Peak Signal-to-Noise Ratio (PSNR), Signal-to-Noise Ratio (SNR), Root Mean Square Error (RMSE) and Mean Square Error (MSE) measures have been used to compare the proposed method with the existing methods.

Authors and Affiliations

K. Divya
Department of Computer Science, Periyar University, Salem, Tamil Nadu, India
K. Thangavel
Department of Computer Science, Periyar University, Salem, Tamil Nadu, India
K. Sasirekha
Department of Computer Science, Periyar University, Salem, Tamil Nadu, India

Fingerprint; Gamma Correction; DWT; Histogram Equalization

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Publication Details

Published in : Volume 2 | Issue 4 | July-August 2016
Date of Publication : 2016-08-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 336-342
Manuscript Number : IJSRSET162481
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

K. Divya, K. Thangavel, K. Sasirekha, " Fingerprint Image Enhancement using DWT Domain with Adaptive Gamma Parameter, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 4, pp.336-342, July-August-2016.
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