CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

Techniques of Binarization, Thinning and Feature Extraction Applied to a Fingerprint System

by Romulo Ferrer L. Carneiro, Jessyca Almeida Bessa, Jermana Lopes De Moraes, Edson Cavalcanti Neto, Auzuir Ripardo De Alexandria
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 103 - Number 10
Year of Publication: 2014
Authors: Romulo Ferrer L. Carneiro, Jessyca Almeida Bessa, Jermana Lopes De Moraes, Edson Cavalcanti Neto, Auzuir Ripardo De Alexandria
10.5120/18107-9291

Romulo Ferrer L. Carneiro, Jessyca Almeida Bessa, Jermana Lopes De Moraes, Edson Cavalcanti Neto, Auzuir Ripardo De Alexandria . Techniques of Binarization, Thinning and Feature Extraction Applied to a Fingerprint System. International Journal of Computer Applications. 103, 10 ( October 2014), 1-8. DOI=10.5120/18107-9291

@article{ 10.5120/18107-9291,
author = { Romulo Ferrer L. Carneiro, Jessyca Almeida Bessa, Jermana Lopes De Moraes, Edson Cavalcanti Neto, Auzuir Ripardo De Alexandria },
title = { Techniques of Binarization, Thinning and Feature Extraction Applied to a Fingerprint System },
journal = { International Journal of Computer Applications },
issue_date = { October 2014 },
volume = { 103 },
number = { 10 },
month = { October },
year = { 2014 },
issn = { 0975-8887 },
pages = { 1-8 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume103/number10/18107-9291/ },
doi = { 10.5120/18107-9291 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:34:09.257475+05:30
%A Romulo Ferrer L. Carneiro
%A Jessyca Almeida Bessa
%A Jermana Lopes De Moraes
%A Edson Cavalcanti Neto
%A Auzuir Ripardo De Alexandria
%T Techniques of Binarization, Thinning and Feature Extraction Applied to a Fingerprint System
%J International Journal of Computer Applications
%@ 0975-8887
%V 103
%N 10
%P 1-8
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

A large volume of images of fingerprints are collected and stored to be used in various systems such as in access control and identification records (ID). Systems for automatic fingerprint recognition perform searches and comparisons with a database. Biometric recognition is based on two fundamental premises: the first is that digital printing must have permanent details, and the second is the information unit. From these premises, a system analyzes the fingerprint image to extract the information and then compares the data in the verification mode or identification mode. , Extraction techniques must be used to obtain the fingerprint data. These techniques use binarization, thinning and features extraction algorithms which are computational methods that can be applied to digital image processing used in scientific research and security issues. This paper presents a comparative analysis of four thresholding techniques (Niblack, Bernsen, Fisher, Fuzzy), two thinning techniques (Stentiford and Holt) and a feature extraction (Cross Number) technique to evaluate the best performance of the algorithms in fingerprint images. To develop this project a set of 160 fingerprint images was used in experiments and analysis. The results point out the positive and negative points of the different algorithms. The system was developed in the C/C++ language.

References
  1. J. Bernsen. Dynamic thresholding of gray level images. International Conference on Pattern Recognition, pages 1251– 1255, 1986.
  2. C. Coetzee, C. Botha, and D. Weber. Pc based number plate recognition system. In Industrial Electronics, 1998. Proceedings. ISIE '98. IEEE International Symposium on, volume 2, pages 605–610 vol. 2, Jul 1998.
  3. Rafael C. Gonzalez and Richard E. Woods. Digital Image Processing (3rd Edition). Prentice-Hall, Inc. , Upper Saddle River, NJ, USA, 2006.
  4. Edward Richard Henry. Classification and Uses of Finger Prints. HMSO, 2 edition, 1900.
  5. Lei Huang, Genxun Wan, and Changping Liu. An improved parallel thinning algorithm. In Document Analysis and Recognition, 2003. Proceedings. Seventh International Conference on, pages 780–783, Aug 2003.
  6. A. K. Jain, Lin Hong, S. Pankanti, and R. Bolle. An identityauthentication system using fingerprints. In Proceedings of the IEEE, volume 85, pages 1365–1388, September 1997.
  7. Anil Jain, Lin Hong, and Sharath Pankanti. Biometric identification. Communications of the ACM, 43(2):90–98, 2000.
  8. Zhang Jinhai. Study and implementation of automatic fingerprint recognition technology. In Uncertainty Reasoning and Knowledge Engineering (URKE), 2011 International Conference on, volume 2, pages 40–43, Aug 2011.
  9. S. Philipp J. P. Coquerez, editor. Analyse d'images : filtrage et Segmentation. Masson, 1995.
  10. D. Maltoni, D. Maio, A. K. Jain, and S. Prabhakar. Handbook of Fingerprint Recognition. Springer Press, 2 edition, 2005.
  11. W. Niblack. An Introduction to Digital Image Processing. Englewood Cliffs, N. J. , 1986.
  12. S. Pankanti, R. M. Bolle, and A Jain. Biometrics: The future of identification [guest eeditors' introduction]. Computer, 33(2):46–49, Feb 2000.
  13. TI ON. Wsq gray-scale fingerprint image compression specification, February 1993.
  14. Flavio Maggessi Viola. Estudo sobre formas de melhoria na identificao de caractersticas relevantes em imagens de impresso digital. Master's thesis, Universidade Federal Fluminense, August 2006.
  15. Jian Yu and Miin-Shen Yang. A generalized fuzzy clustering regularization model with optimality tests and model complexity analysis. Fuzzy Systems, IEEE Transactions on, 15(5):904–915, Oct 2007.
Index Terms

Computer Science
Information Sciences

Keywords

Images of fingerprints Thresholding Thinning Feature Extraction.

Powered by PhDFocusTM