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

A Novel Approach for Finger Vein Pattern Enhancement using Gabor and Canny Edge Detector

by Kayode A. Akintoye, M. Rahim M. Shafry, Abdul Hanan Abdullah
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 157 - Number 2
Year of Publication: 2017
Authors: Kayode A. Akintoye, M. Rahim M. Shafry, Abdul Hanan Abdullah
10.5120/ijca2017912637

Kayode A. Akintoye, M. Rahim M. Shafry, Abdul Hanan Abdullah . A Novel Approach for Finger Vein Pattern Enhancement using Gabor and Canny Edge Detector. International Journal of Computer Applications. 157, 2 ( Jan 2017), 16-20. DOI=10.5120/ijca2017912637

@article{ 10.5120/ijca2017912637,
author = { Kayode A. Akintoye, M. Rahim M. Shafry, Abdul Hanan Abdullah },
title = { A Novel Approach for Finger Vein Pattern Enhancement using Gabor and Canny Edge Detector },
journal = { International Journal of Computer Applications },
issue_date = { Jan 2017 },
volume = { 157 },
number = { 2 },
month = { Jan },
year = { 2017 },
issn = { 0975-8887 },
pages = { 16-20 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume157/number2/26804-2017912637/ },
doi = { 10.5120/ijca2017912637 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:02:52.092452+05:30
%A Kayode A. Akintoye
%A M. Rahim M. Shafry
%A Abdul Hanan Abdullah
%T A Novel Approach for Finger Vein Pattern Enhancement using Gabor and Canny Edge Detector
%J International Journal of Computer Applications
%@ 0975-8887
%V 157
%N 2
%P 16-20
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Biometrics is the science of identifying a person using physiological or behavioural features. A biometric verification system authenticates an individual's identity by matching the live biometric template to his/her biometric template or templates stored in the system database. Nevertheless, finger vein verification system is cost effective in comparison but high in accuracy with opportunities of fake detection and bio-cryptography system. Previous research on finger vein verification has proved that it’s accuracy relies on enhancement of vein image pattern quality. However, at times noise generates as a result of hair and skin texture, which is as well enhanced because they are much resembles the vein structure. Noise is any process that affects the original image since it is not part of the original image. This causes great error when extracting accurate vein patterns. It also leads to increasing processing time during finger vein extraction, which is eventually cause an inaccuracy in matching/verification system. To overcome this problem, a novel approach for finger vein pattern enhancement using Gabor-Canny edge detector is proposed, which is far better and more accurate than previous method.

References
  1. T. D. Pham, Y. H. Park, D. T. Nguyen, S. Y. Kwon, K. R. Park, "Nonintrusive Finger-Vein Recognition System Using NIR Image Sensor and Accuracy Analyses According to Various Factors", Sensors, 15(7):16866-94, 2015.
  2. W. Yang, J. Hu, S. Wang, "A finger-vein based cancellable bio-cryptosystem", Network and System Security: Springer, p. 784-90, 2013.
  3. J. Yang, J. Yang, editors. "Multi-channel gabor filter design for finger-vein image enhancement. 2009 Fifth International Conference on Image and Graphics, IEEE, 2009.
  4. K. Y. Shin, Y. H. Park, D. T. Nguyen, K. R. Park, "Finger-vein image enhancement using a fuzzy-based fusion method with gabor and retinex filtering", Sensors, 14(2):3095-129, 2014.
  5. A. A. A. Hamid, R. Kumoi, M. S. M. Rahim, N. Z. Syazrah, "Fingerprint Image Enhancement Using Median Sigmoid Filter", Jurnal Teknologi, 75(4), 2015.
  6. P. Gupta and P. Gupta, "An accurate finger vein based verification system", Digital Signal Processing, 38:43-52, 2015.
  7. G. Park, S. Im, H. Choi, editors. "A person identification algorithm utilizing hand vein pattern", Proc of Korea Signal Processing Conf; 1997.
  8. S. K. Im, H. M. Park, Y. W. Kim, S. C. Han, S. W. Kim, C. H. Kang, et al. "An biometric identification system by extracting hand vein patterns", JOURNAL-KOREAN PHYSICAL SOCIETY, 38(3):268-72, 2001.
  9. S. K. Im, H. M. Park, S. W. Kim, C. K. Chung, H. S. Choi, editors, "Improved vein pattern extracting algorithm and its implementation", Consumer Electronics, 2000 ICCE 2000 Digest of Technical Papers International Conference on, IEEE, 2000.
  10. J. Yang, Y. Shi, "Finger–vein ROI localization and vein ridge enhancement", Pattern Recognition Letters, 33(12):1569-79, 2012.
  11. J. Yang, Y. Shi, "Towards finger-vein image restoration and enhancement for finger-vein recognition", Information Sciences, 268:33-52, 2014.
  12. A. Kumar, Y. Zhou, "Human identification using finger images", Image Processing, IEEE Transactions on, 21(4):2228-44, 2012.
  13. N. Miura, A. Nagasaka, T. Miyatake, "Feature extraction of finger-vein patterns based on repeated line tracking and its application to personal identification", Machine Vision and Applications, 15(4):194-203, 2004.
  14. S. R. Cho, Y. H. Park, G. P. Nam, K. Y. Shin, H. C. Lee, K. R. Park, et al., editors, "Enhancement of finger-vein image by vein line tracking and adaptive gabor filtering for finger-vein recognition" Applied Mechanics and Materials, Trans Tech Publ., 2011.
  15. J. Yang, B. Zhang, Y. Shi, "Scattering removal for finger-vein image restoration", Sensors, 12(3):3627-40, 2012.
  16. Y. H. Park, K. R. Park, "Image quality enhancement using the direction and thickness of vein lines for finger-vein recognition", International Journal of Advanced Robotic Systems, 9, 2012.
  17. B. Huang, Y. Dai, R. Li, D. Tang, W. Li, editors, "Finger-vein authentication based on wide line detector and pattern normalization", Pattern Recognition (ICPR), 20th International Conference on, IEEE, ; 2010.
  18. M. S. M. Asaari, S. A. Suandi, B. A. Rosdi, "Fusion of band limited phase only correlation and width centroid contour distance for finger based biometrics", Expert Systems with Applications, 41(7):3367-82, 2014.
  19. A. M. Al-juboori, W. Bu, X. Wu, Q. Zhao, "Palm vein verification using gabor filter" International Journal of Computer science issues, 10(1):678-84, 2013.
  20. S. Raut, V. Humbe, "An Approach to Boundary Extraction of Palm Lines and Vein Pattern", International Journal of Image, Graphics and Signal Processing (IJIGSP), 6(12):47, 2014.
  21. A. Sharifara, M. Rahim M. Shafry, H. Sayyadi, "A Robust Human Face Detection Algorithm Based on Skin Color Segmentation and Edge Detection", Journal of Theoretical & Applied Information Technology, 77(1), 2015.
  22. A. L. KABADE, "Canny edge detection algorithm", International Journal of Advanced Research in Electronics and Communication Engineering (IJARECE), 5(5):1292-1295, 2016.
  23. FV-USM Finger Vein Image Database. Available online: http://blog.eng.usm.my/fendi/?page_id=262
Index Terms

Computer Science
Information Sciences

Keywords

Noise Finger vein detection ROI Gabor filter Canny edge detector

Powered by PhDFocusTM