CFP last date
20 May 2024
Call for Paper
June Edition
IJCA solicits high quality original research papers for the upcoming June edition of the journal. The last date of research paper submission is 20 May 2024

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

Survey on Fingerprint Enhancement Techniques

by M. Manju, V. Kavitha
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 62 - Number 4
Year of Publication: 2013
Authors: M. Manju, V. Kavitha
10.5120/10072-4682

M. Manju, V. Kavitha . Survey on Fingerprint Enhancement Techniques. International Journal of Computer Applications. 62, 4 ( January 2013), 41-47. DOI=10.5120/10072-4682

@article{ 10.5120/10072-4682,
author = { M. Manju, V. Kavitha },
title = { Survey on Fingerprint Enhancement Techniques },
journal = { International Journal of Computer Applications },
issue_date = { January 2013 },
volume = { 62 },
number = { 4 },
month = { January },
year = { 2013 },
issn = { 0975-8887 },
pages = { 41-47 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume62/number4/10072-4682/ },
doi = { 10.5120/10072-4682 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:10:50.606580+05:30
%A M. Manju
%A V. Kavitha
%T Survey on Fingerprint Enhancement Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 62
%N 4
%P 41-47
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In the field of security, many Automatic Fingerprint Identification System (AFIS) have been developed. One of the indices for evaluating the security of such system is the quality of the fingerprint image and the efficiency of the enhancement algorithm used. The main aim of the paper is to present a survey on traditional and classical fingerprint image enhancement techniques. The performance of the enhancement algorithms are evaluated on the basis of PSNR and MSE values. Based on the above measures, the most efficient enhancement algorithm is chosen.

References
  1. Anto Melvin Paul, R. Mary Lourde, "A Study on Fingerprint Enhancement Techniques for Fingerprint Identification", Proceedings of IEEE International Conference on Video and Signal Based Survillence, 2006.
  2. T. Vidhya, T. K. Thivakaran, "Fingerprint Image Enhancement using Wavelet over Gabor Filters", International Journal of Computer Technology and Applications, Vol 3(3), 1049-1054, 2012.
  3. H. K. Sawant, Mahendra Deore, " A Comprehensive Review of Image Enhancement Techniques", International Journal of Computer Technology and Electronics Engineering, Vol. 1, Issue 2, 2012.
  4. Raju Rajkumar, K. Hemachandran,"A Review on Image Enhancement of Fingerprint using Directional Filters", Assam University Journal of Science and Technology, Vol. 7,52-57,2011.
  5. Hartwig Fronthaler, Klaus Kollreider, Jodef Bigun, "Local Features for Enhancement and Minutiae Extraction in Fingerprints", Vol. 17, 2008.
  6. Mehdi Keshavarz, Javad Mohammedali, Rohollah Akbari, " Fingerprint Image Enhancement Using GWT and DMF", IEEE,2010.
  7. Iwasokun G et al, "Multi-Level Model for fingerprint Image Enhancement", IMECS 2012, March 14-16, 2012, Hong Kong.
  8. Shlomo Greenberg, Mayer Aledjem and Daniel Kogan, "Fingerprint Image Enhancement Techniques", Real Time Imaging, Elsevier 2002.
  9. Sugata Ghosal et al. , "Learning Partitioned Least Squares Filters for Fingerprint Enhancement", IEEE 2000.
  10. S. Arivazaghan and L. Ganesan, " Fingerprint Verifivation using Gabor Co-occurence Features", ICCIM-2007.
Index Terms

Computer Science
Information Sciences

Keywords

AFIS HE LPD directional filters Gabor filters MSE PSNR

Powered by PhDFocusTM