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

  1. Y. Sutcu, E. Tabassi, H.T. Sencar, and N. Memon,  "What is biometric information and how to measure it?," IEEE International Conference on Technologies for Homeland Security (HST), pp.12 – 14, 2013.
  2. K. Sasi Rekha, and C. Immaculate Mary, "Biometric based Network Video Security System with RSA Implementation," CiiT International Journal of Biometrics and Bioinformatics, vol.4, no. 8, 2012.
  3. K Sasirekha, K Thangavel, "A Comparative Analysis on Fingerprint Binarization Techniques ", International Journal of Computational Intelligence and Informatics, Vol. 4, No. 3, (2014).
  4.  Hum, Yan Chai; Lai, Khin Wee; Mohamad Salim, Maheza Irna (11 October 2014). "Multiobjectives bihistogram equalization for image contrast enhancement". Complexity 20 (2): 22–36.
  5. K. Sasirekha and K. Thangavel, "A Novel Wavelet based Thresholding for Denoising Fingerprint Image", IEEE International Conference on Electronics, Communication and Computational Engineering, pp. 119-124, (2014).
  6.  S. Kundu, "A solution to histogram-equalization and other related problems by shortest path methods," Pattern Recognit., vol. 31, no. 3, pp. 231–234, 1998.
  7.  S. M. Pizer, E. P. Amburn, J. D. Austin, et al.: Adaptive Histogram Equalization and Its Variations. Computer Vision, Graphics, and Image Processing 39 (1987) 355-368.
  8. D. J. Ketcham, R. W. Lowe & J. W. Weber: Image enhancement techniques for cockpit displays. Tech. rep., Hughes Aircraft. 1974.
  9. R. A. Hummel: Image Enhancement by Histogram Transformation. Computer Graphics and Image Processing 6 (1977) 184195.
  10. K. Zuiderveld: Contrast Limited Adaptive Histogram Equalization. In: P. Heckbert: Graphics Gems IV, Academic Press 1994, ISBN 0-12-336155-9.
  11. Charles A. Poynton (2003). Digital Video and HDTV: Algorithms and Interfaces. Morgan Kaufmann. pp. 260, 630. ISBN 1-55860-792-7.
  12. Erik Reinhard, Wolfgang Heidrich, Paul Debevec, Sumanta Pattanaik, Greg Ward, and Karol Myszkowski (2010). High Dynamic Range Imaging: Acquisition, Display, and Image-Based Lighting. Morgan Kaufmann. p. 82. ISBN 9780080957111.
  13. McKesson, Jason L. "Chapter 12. Dynamic Range  Linearity and Gamma". Learning Modern 3D Graphics Programming. Archived from the original on 18 July 2013. Retrieved 11 July2013.
  14. M. Kim and M. G. Chung, "Recursively separated and weighted histogram equalization for brightness preservation and contrast enhancement," IEEE Trans. Consum. Electron., vol. 54, no. 3, pp. 1389–1397, Aug. 2008.
  15. http://bias.csr.unibo.it/fvc2004/download.asp

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.
Journal URL : http://ijsrset.com/IJSRSET162481

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