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Fingerprint Image Enhancement using DWT Domain with Adaptive Gamma Parameter

Authors(3):

K. Divya, K. Thangavel, K. Sasirekha
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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.

K. Divya, K. Thangavel, K. Sasirekha

Fingerprint; Gamma Correction; DWT; Histogram Equalization

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Publication Details

Published in : Volume 2 | Issue 4 | July-August - 2016
Date of Publication Print ISSN Online ISSN
2016-08-30 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
336-342 IJSRSET162481   Technoscience Academy

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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