Enhancement of fingerprint image using wiener filter

 
 
 
  • Abstract
  • Keywords
  • References
  • PDF
  • Abstract


    A fingerprint is one of the most vital Biometric traits used for Personal Identification. To identify and match the fingerprint accurately, it has to be enhanced efficiently. In this paper, an efficient fingerprint enhancement technique is adopted and compared with the existing methods. The proposed methodology consists of three Phases. In the first phase, the fingerprint is subjected to the de-noising process. After adding noise such as salt and pepper, Gaussian and speckle noise, the image is blurred. In the second phase, the fingerprint is filtered with Wiener filter and then de-blurred. In the third, the filtered image is further enhanced for more clarity. The paper emphasizes, the fingerprint preprocessing followed with the enhancement produces better quality image. The performance of the proposed methodology is compared and evaluated using two performances measures namely Peak-Signal-Noise –Ratio and Mean Squared Error using Matlab R2013a.


  • Keywords


    Otsu Thresholding Binarization; Histogram Equalization; Wiener Filter; Gaussian Noise; Salt and Pepper; Speckle.

  • References


      [1] Neethu S, Sreelakshmi S & Sankar D, “Enhancement of fingerprint using FFT×|FFT|n filter”, Procedia Computer Science, Vol.46, pp. 1561–1568, (2015). https://doi.org/10.1016/j.procs.2015.02.083.

      [2] Gnanasivam P & Muttan S, “An efficient algorithm for fingerprint preprocessing and feature extraction”, Procedia Computer Science, Vol.2, No.2009, pp.133–142, (2010).

      [3] Borra SR, Reddy GJ & Reddy ES, “An Efficient Fingerprint Enhancement Technique Using Wave Atom Transform and MCS Algorithm”, Procedia Computer Science, Vol.89, pp.785–793, (2016). https://doi.org/10.1016/j.procs.2016.06.061.

      [4] Zhao F & Tang X, “Preprocessing and postprocessing for skeleton-based fingerprint minutiae extraction”, Pattern Recognition, Vol.40, No.4, pp.1270–1281, (2007). https://doi.org/10.1016/j.patcog.2006.09.008.

      [5] Chaurasia OP, “An Approach to Fingerprint Image Pre-Processing”, International Journal of Image, Graphics and Signal Processing, Vol.4, No.6, pp.29–35, (2012). https://doi.org/10.5815/ijigsp.2012.06.05.

      [6] Selia IG & Parthiban L, “Approaches for Enhancing Fingerprint Images Using Filters: A Case Study”, ACS-International Journal in Computational Intelligence, Vol.2, No.1, pp.1-9, (2011).

      [7] Rajkumar R & Hemachandran K, “A Review on Image enhancement of fingerprint using Directional filters”, Assam University Journal of Science and Technology, Vol.7, No.2, pp.52-57, (2011).

      [8] Greenberg S, Aladjem M & Kogan D, “Fingerprint Image Enhancement using Filtering Techniques”, Real-Time Imaging, Vol.8, No. 3, pp.227–236, (2002). https://doi.org/10.1006/rtim.2001.0283.

      [9] Kausalya R & Ramya A, “Latent Fingerprint Image Enhancement Techniques”, International Journal of Advanced Research in Computer and Communication Engineering, Vol.3, No.2, pp.5671–5674, (2014).

      [10] Nagendra G, “Fingerprint Image Enhancement Using Filtering”, International Journal of Computer Science Engineering, Vol.1, No.1, pp.61–78, (2012).

      [11] Mather P & Koch M, “Image Enhancement Techniques”, Processing of Remotely-Sensed Images:An, Vol.1, No.3, pp.215–217, (2012).

      [12] http://www.ni.com/white-paper/13306/en/.


 

View

Download

Article ID: 9456
 
DOI: 10.14419/ijet.v7i1.1.9456




Copyright © 2012-2015 Science Publishing Corporation Inc. All rights reserved.