Enhancement of fingerprint image using wiener filter


  • R. Devi
  • P. Sujatha






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


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.


[1] Neethu S, Sreelakshmi S & Sankar D, “Enhancement of fingerprint using FFT×|FFT|n filterâ€, 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 extractionâ€, 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 Algorithmâ€, 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 extractionâ€, 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-Processingâ€, 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 Studyâ€, 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 filtersâ€, 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 Techniquesâ€, 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 Techniquesâ€, 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 Filteringâ€, International Journal of Computer Science Engineering, Vol.1, No.1, pp.61–78, (2012).

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

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

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