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

A Quantitative Survey of various Fingerprint Enhancement techniques

by Kumud Arora, Dr.Poonam Garg
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 28 - Number 5
Year of Publication: 2011
Authors: Kumud Arora, Dr.Poonam Garg
10.5120/3383-4691

Kumud Arora, Dr.Poonam Garg . A Quantitative Survey of various Fingerprint Enhancement techniques. International Journal of Computer Applications. 28, 5 ( August 2011), 24-28. DOI=10.5120/3383-4691

@article{ 10.5120/3383-4691,
author = { Kumud Arora, Dr.Poonam Garg },
title = { A Quantitative Survey of various Fingerprint Enhancement techniques },
journal = { International Journal of Computer Applications },
issue_date = { August 2011 },
volume = { 28 },
number = { 5 },
month = { August },
year = { 2011 },
issn = { 0975-8887 },
pages = { 24-28 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume28/number5/3383-4691/ },
doi = { 10.5120/3383-4691 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:13:58.603122+05:30
%A Kumud Arora
%A Dr.Poonam Garg
%T A Quantitative Survey of various Fingerprint Enhancement techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 28
%N 5
%P 24-28
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Image Preprocessing is an important step in the area of image processing and pattern recognition. This paper aims to present a review of recent as well as classic fingerprint image enhancement techniques. The umbrella of techniques used for evaluation varies from histogram based enhancement, frequency transformation based, Gabor filter based enhancement and its variants to composite enhancement technique. The effectiveness of enhancement techniques proposed by various researchers is evaluated on the basis of peak signal to noise ratio and equal error rate which refers to robustness and stability of identification process. Experimental results shows that incorporating the enhancement technique based on Gabor filter in wavelet domain and composite method improves equal error rate .Improved error rate and peak signal noise ratio improves the identification/verification accuracy marginally. The major goal of the paper is to provide a comprehensive reference source for the researchers involved in enhancement of fingerprint images which is essential preprocessing step in automatic fingerprint identification and verification.

References
  1. D. Maltoni, D. Maio, A. K. Jain, and S. Prabhakar (2003), Handbook of Fingerprint Recognition, Springer, New York, NY.
  2. L. Hong, Y. Wan, and A. Jain.(1998) “Fingerprint image enhancement: Algorithm and performance evaluation,” IEEE Transactions on Pattern Analysis and Machine Intelligence, 20(8):777–789.
  3. Rafael C. Gonzales and Richard E. Woods, “Digital Image Processing”, 3rd edition, Prentice Hall, 2009.
  4. B. G. Sherlock, D. M. Monro, and K. Millard(1994), “Fingerprint enhancement by directional Fourier Filtering,” IEEE Proceedings in Visual Image Signal Processing, 141(2):87– 94.
  5. S. Chikkerur and V. Govindaraju (2005), “Fingerprint image enhancement using STFT analysis,” in Proc. Int. Workshop on Pattern Recognition for Crime Prevention, Security and Surveillance, pp. 20–29.
  6. J. Yang, L. Liu, T. Jiang, and Y. Fan (2003) , “A modified gabor filter design method for fingerprint image enhancement”. Pattern Recognition Letters, 24:1805–1817.
  7. C.T. Hsieh, E. Lai, and Y.C. Wang (2003), “An effective algorithm for fingerprint image enhancement base on wavelet tranform,” Pattern Recognition 36 , 303-312
  8. Zhengmao Ye, Habib Mohamadian, and Yongmao Ye(2007), “Information Measures for Biometric Identification via 2D Discrete Wavelet Transform,” Proceedings of the 3rd Annual IEEE Conference on Automation Science and Engineering Scottsdale, AZ, USA, Sept 22- 25.
  9. Anto Melvin Paul and R. Mary Lourde(2006) ,“A Study on Image Enhancement Techniques for Fingerprint Identification”,Proceedings of the IEEE International Conference on Video and Signal Based Surveillance , AVSS'06.
  10. Wei-Peng, Zhang, Qing-Ren. Wang, YYTang(2002), “A wavelet-based method for fingerprint image enhancement”. Proceeding of the First International Conference on Machine Learning and Cybernetics, Beijing.
  11. Miao-li WEN, Yan LIANG, Quan PAN, Hong-cai ZHANG(2005), “A Gabor filter based fingerprint enhancement algorithm in wavelet domain”. Communications and Information Technology, 2005. ISCIT 2005. IEEE International Symposium on 12-14 Oct. 2005. Volume 2, On page(s): 1468- 1471.
  12. A. Farina, Z.M. Kovacs-Vajna, and A. Leone(1999), “Fingerprint minutiae extraction from skeletonized binary images,” Pattern Recognition, 32(5):877–889.
  13. D. Maio, D. Maltoni(1997) , “Direct Gray-Scale Minutiae Detection in Fingerprints,” IEEE Trans. Pattern Anal. Machine Intell., Vol. 19, No. 1, pp. 27-40.
  14. Keming Mao,Zhiliang Zhu,Huiyan Jang(2010), A fast Fingerprint Image enhancement method ,Proceeding CSO '10 Proceedings of the 2010 Third International Joint Conference on Computational Science and Optimization - Volume 01,pages:222-226
  15. Miao-li WEN, Yan LIANG, Quan PAN, Hong-cai ZHANG(2009), A Gabor Filter Based Fingerprint Enhancement Algorithm in Wavelet Domain ,(IJCSIS) International Journal of Computer Science and Information Security, Vol. 6, No. 2.
  16. K. V. Kale R. R. Manza V. T. Humbe, Fingerprint Image Enhancement using Composite Method
  17. Wei Wang , Jianwei Li, Feifei Huang, Hailiang Feng(2008), Design and implementation of Log-Gabor filter in fingerprint image enhancement, Pattern Recognition Letters 29 ,301–308.
Index Terms

Computer Science
Information Sciences

Keywords

WFT (Windowed Fourier Transformation) Gabor Filters PSNR( Peak Signal-to-noise ratio) EER(Equal Error Rate)

Powered by PhDFocusTM