CFP last date
20 May 2024
Reseach Article

Fingerprint Authentication System using Log-Gabor Filter

by Vandana, Alankrita Aggrawal
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 145 - Number 9
Year of Publication: 2016
Authors: Vandana, Alankrita Aggrawal
10.5120/ijca2016910750

Vandana, Alankrita Aggrawal . Fingerprint Authentication System using Log-Gabor Filter. International Journal of Computer Applications. 145, 9 ( Jul 2016), 12-14. DOI=10.5120/ijca2016910750

@article{ 10.5120/ijca2016910750,
author = { Vandana, Alankrita Aggrawal },
title = { Fingerprint Authentication System using Log-Gabor Filter },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2016 },
volume = { 145 },
number = { 9 },
month = { Jul },
year = { 2016 },
issn = { 0975-8887 },
pages = { 12-14 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume145/number9/25305-2016910750/ },
doi = { 10.5120/ijca2016910750 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:48:19.847997+05:30
%A Vandana
%A Alankrita Aggrawal
%T Fingerprint Authentication System using Log-Gabor Filter
%J International Journal of Computer Applications
%@ 0975-8887
%V 145
%N 9
%P 12-14
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Biometric authentication using fingerprint is one of the unique, prominent and reliable method of verification processes. The paper presents different techniques used in fingerprint authentication system. Log - Gabor filter algorithm is used to extract the features of fingerprints. Then, these features are compared for identification and recognition of a person. To evaluate the accuracy, Two test cases are used. Three distance metric is used: Spearman, Euclidean and Cosine in which Euclidean distance is performing better with Log- Gabor Filter. Using Log - Gabor filter based matching algorithm, Accuracy on 100 % training 95% and accuracy on exclusive training 40 % is achieved in case of Euclidean Distance Metric.

References
  1. Robust Fingerprint Authentication Using local Structural Similarity, Nalini K.Ratha, Vinayaka D.Pandit © IEEE 2000.
  2. The Costs and Benefits of Using Complex 2-D Gabor Filters in a Filter-Based Fingerprint-Matching System M. Horton, P. Meenen, R. Adhami, P. Cox 2002 IEEE.
  3. Fingerprint Identification and Verification System using Minutiae Matching, F.A. Afsar, M. Arif and M. Hussain, National Conference on Emerging Technologies 2004
  4. Coarse-to-Fine Fingerprint Matching Using Principal Gabor Basis Functions 2006 IEEE International Conference on Systems, Man, and Cybernetics October 8-11, 2006, Taipei, TaiwanC.J. Lee, T.N. Yang, I.H. Jeng, and K.L. Lin
  5. Combining Gabor Local Texture Pattern and Wavelet Global Features for Fingerprint Matching International Conference on Computetional Intelligence and Multimedia application IEEE Computer Society, DOI 10.1109/ICCIMA.2007.277
  6. Singular Points Detection in Fingerprint Images Using Gabor Transform Chih-Jen Lee, I-Horng Jeng,Tai-Ning Yang, Chun-Jung Chen, and Keng-Li Lin ICSP2008 Proceedings ©2008 IEEE.
  7. Fingerprint Authentication using Gabor Filter based Matching Algorithm,Satish kumar Chavan, Parth Mundada, Devendra Pal, 2015 International Conference on Technologies for Sustainable Development (ICTSD-2015), Feb. 04 – 06, 2015, Mumbai, India.
  8. Z. Xiao, C. Guo, Y. Ming, and L. Qiang. Research on log Gabor wavelet and its application in image edge detection. In International Conference on Signal Processing volume 1, pages 592–595 Aug 2002.
  9. Sylvain Fischer, Filip Sroubek, Laurent U. Perrinet, Rafael Redondo, Gabriel Cristobal. Self- invertible 2D log-Gabor wavelets. Int. Journal of Computional Vision, 2007
Index Terms

Computer Science
Information Sciences

Keywords

Fingerprint Authentication Gabor filter Accuracy on 100% Training Accuracy on Exclusive Training