An Efficient Finger Print Enhancement and Recognition System Viz Fuzzy Based Filtering Technique


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Abstract


Contrast of the image can be enhanced at the preprocessing stage of fingerprint matching. Contrast is the difference between two neighboring pixels. Already there are some enhancement techniques are available. But they are very complex and inefficient. In order to overcome the disadvantages of existing methods, we proposed an efficient fingerprint enhancement technique using fuzzy based filtering. In this paper we describe a fuzzy modeling approach which may be used for reducing the noise and increasing the brightness of the ridges. Fuzzy filter values are analyzed and better results are produced in the image domain. The probabilities of gray values are determined from the position of the input image pixel. The result indicates the good performance of the proposed fuzzy filtering technique.
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Keywords


Image Processing; Fuzzy Filters; Membership Functions; Noise Reduction; Morphological Operation; High Pass Filtering

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References


Muhammad Umer Munir and Dr. Muhammad Younas Javed, "Fingerprint Matching using Gabor Filters", National Conference on Emerging Technologies, pp. 147-151, 2004.

Dr. E. Chandra and K. Kanagalakshmi, “Noise Suppression Scheme using Median Filter in Gray and Binary Images”, International Journal of Computer Applications, Vol. 26, No.1, pp. 49-57, Jul 2011.

Dhruv Batra, Girish Singhal and Santanu Chaudhury, "Gabor Filter based Fingerprint Classification using Support Vector Machines ", IEEE India Annual Conference 2004, pp. 256-261, Dec 2004.

Keokanlaya Sihalath, Phonepaseuth Satahack, Somsak Choomchuay and Khampheth Bounnady, “A Study of Fingerprint Enhancement With Directional Filtering”, Proceeding of the 3rd RCICT 2011 Application for Industries and Small Companies in ASEAN Countries, Vol. 10, No. 11, pp. 122-126, March 2011.

B. Karunakumar and K Satya Prasad, “Reliable Fingerprint Feature Extraction Algorithm”, ICGST-DSP Journal , Vol. 10, No. 1, pp. 29-42, Dec 2010.

S. Chikkerur and V. Govindaraju, "Fingerprint Image Enhancement using STFT Analysis", International Workshop on Pattern Recognition for Crime Prevention, Security and Surveillance, 2005.

Abbad Khalid, Tairi Hamid, and Aarab Abdellah, “Minutiae Extraction Based on Propriety of Curvature”, International Journal of Computer Theory and Engineering, Vol. 3, No. 3, pp. 418-421, Jun 2011.

B.G. Sherlock, D.M. Monro, and K. Millard, “Algorithm for Enhancing Fingerprint Images”, Electronics Letters, Vol. 28, No. 18, pp. 1720-1721, 1992.

B.G. Sherlock, D.M. Monro, and K. Millard, “Fingerprint Enhancement by Directional Fourier Filtering”, Proc. Conf. Vision, Image and Signal Processing, pp. 87-94, 1994.

Sang Keun Oh, Joon Jae Lee, Chul Hyun Park, Bum Soo Kim and Kil Houm Park, “New Fingerprint Image Enhancement Using Directional Filter Bank”, Journal of WSCG, Vol. 11, No. 1, 2003.

Gonzalez. Woods, Eddins, Digital Image Processing, Prentice-Hall, Englewood Cliffs, NJ, 2004.

L. Hong, Y. Wang, A.K. Jain, Fingerprint image enhancement: algorithm and performance evaluation, Trans. PAMI, Vol. 21, No. 4, pp. 777-789, 1998.

Abdullah Bal, Aed M. El-Saba, and Mohammad S. Alam, "Improved fingerprint identification with supervised filtering enhancement",Applied Optics, Vol. 44, Issue 5, pp.647-654, 2005.

Sharat Chikkerur, Alexander N. Cartwright, Venu Govindaraju, “Fingerprint enhancement using STFT analysis”, Pattern Recognition, Vol. 40, pp. 198-211, 2007.

Manvjeet Kaur, Mukhwinder Singh, Akshay Girdhar, and Parvinder S. Sandhu, "Fingerprint Verification System using Minutiae Extraction Technique", World Academy of Science, Engineering and Technology,vol.46, pp. 497-502, 2008

Wei Wang, Jianwei Li, Feifei Huang and Hailiang Feng, "Design and implementation of Log-Gabor filter in fingerprint image enhancement", Pattern Recognition Letters, Vol. 29, No. 3, pp. 301-308, 2008.

Andelija M. Raicevic and Brankica M. Popovic, "An Effective and Robust Fingerprint Enhancement by Adaptive Filtering in Frequency Domain", Facta Universitatis Series : Electronics and Energetics, Vol. 22, No. 1, pp. 91-104, April 2009.

Bashar Ne’ma and Hamza Ali, "Multi Purpose Code Generation Using Fingerprint Images", The International Arab Journal of Information Technology, Vol. 6, No. 4, pp. 418-423, 2009.

P. Viswanathan and P. Venkata Krishna, "Fingerprint enhancement and compression method using Morlet wavelet", International Journal of Signal and Imaging Systems Engineering, Vol. 3, No. 4, pp. 261 - 268, 2010.

M. M. Kazi, A. V. Mane, R. R. Manza and K. V. Kale, "Comparison of fingerprint enhancement techniques through Mean Square Error and Peak-Signal to Noise Ratio", International Journal on Computer Science and Engineering (IJCSE), Vol. 3, No. 1, pp. 266-270, Jan 2011.

Dr.S.Arumuga Perumal, T.C. Rajakumar, Dr.N.Krishnan, "Fuzzy based Filtering Approach on Histogram Specification for Fingerprint Image Enhancement", International Journal of Computer Applications Vol. 23, No.8, pp.30-33, June 2011.

Dr.E.Chandra and K.Kanagalakshmi, "Noise Elimination in Fingerprint Image Using Median Filter", Int. J. Advanced Networking and Applications, Vol. 02, No. 06, pp. 950-955, 2011.

Fakheri, M.M., Mashoufi, B., Sedghi, T., A novel approach for fingerprinting recognition, (2010) International Review on Computers and Software (IRECOS), 5 (1), pp. 34-43.


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