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An Efficient Approach for Robust Fingerprint Recognition System


Rakesh Yadhav G B, Choodarathnakara A L, Harshitha B K, Mohammed Zakirulla M
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In today’s society, the use of electronic commerce, transaction of monetary assets and daily use of email is rapidly increasing. Along with the increased ease of purchasing and selling, there is also an increase in fraud mostly from false identification. Solutions to this problem have been in the field of biometrics, using the person’s body as a form of identification. In particular, the uniqueness of fingerprints has made them very popular among law enforcement, banking establishments and commerce. Fingerprint identification using manual procedures has become a very common approach, but it has number of limitations like very low rate of positive identification, time consumption, mutilation of paper slips used for fingerprinting, etc.., rendering them ineffective. This has resulted in the dire need of speeding up the procedure and increasing its reliability by the use of computerized process. This paper addressing different procedures involved in acquisition of the fingerprint, operations of pre-processing to make the fingerprint compatible for feature extraction, feature extraction and finally authentication are discussed along with their associated difficulties.

Rakesh Yadhav G B, Choodarathnakara A L, Harshitha B K, Mohammed Zakirulla M

Biometrics, Fingerprint Image, Pattern Recognition, Image Processing and MATLAB

  1. A.K. Jain, Fundamentals of Digital Image Processing, Prentice-Hall, Englewood Cliffs, NJ, 1988.
  2. R.C. Gonzalez and R.E. Woods, Digital Image Processing (2nd edition), Prentice-Hall, Englewood Cliffs, NJ, 2002.
  3. R.C. Gonzalez and R.E. Woods, Digital Image Processing using MATLAB, Prentice-
  4. Hall, edition 2005.
  5. Ratha N.K., Chen S., and Jain A.K., Adaptive Flow Orientation-Based Feature Extraction In Fingerprint Images, Pattern Recognition, Vol.28, No. 11, pp.1657-1672, 1995.
  6. Aditya Vailaya, Member, IEEE, HongJiang Zhang, Senior Member, IEEE, Changjiang Yang, Feng-I Liu, and Anil K. Jain, Fellow, IEEE Automatic Image Orientation Detection.
  7. A. K. Jain, S. Prabhakar, L.Hong, and S.Pankanti, Filter Bank-Based Fingerprint Matching, IEEE Trans. Image Processing Vol.9, No.5, pp.846-859, 2000.
  8. www.biometrics.com
  9. www.cse.msu.adu/rgroups/biometrics
  10. www.dsprelated.com
  11. www.mathworks.com

Publication Details

Published in : Volume 1 | Issue 3 | May-Jone - 2015
Date of Publication Print ISSN Online ISSN
2015-06-25 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
34-39 IJSRSET15134   Technoscience Academy

Cite This Article

Rakesh Yadhav G B, Choodarathnakara A L, Harshitha B K, Mohammed Zakirulla M, "An Efficient Approach for Robust Fingerprint Recognition System", International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 1, Issue 3, pp.34-39, May-Jone-2015.
URL : http://ijsrset.com/IJSRSET15134.php