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 Robust Method for Vehicle License Plate Recognition based on Harries Corner Algorithm and Artificial Neural Network

by Sangita Kumari, D. K. Gupta, Raj Mohan Singh
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 148 - Number 4
Year of Publication: 2016
Authors: Sangita Kumari, D. K. Gupta, Raj Mohan Singh
10.5120/ijca2016911075

Sangita Kumari, D. K. Gupta, Raj Mohan Singh . A Robust Method for Vehicle License Plate Recognition based on Harries Corner Algorithm and Artificial Neural Network. International Journal of Computer Applications. 148, 4 ( Aug 2016), 16-19. DOI=10.5120/ijca2016911075

@article{ 10.5120/ijca2016911075,
author = { Sangita Kumari, D. K. Gupta, Raj Mohan Singh },
title = { A Robust Method for Vehicle License Plate Recognition based on Harries Corner Algorithm and Artificial Neural Network },
journal = { International Journal of Computer Applications },
issue_date = { Aug 2016 },
volume = { 148 },
number = { 4 },
month = { Aug },
year = { 2016 },
issn = { 0975-8887 },
pages = { 16-19 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume148/number4/25744-2016911075/ },
doi = { 10.5120/ijca2016911075 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:52:24.937731+05:30
%A Sangita Kumari
%A D. K. Gupta
%A Raj Mohan Singh
%T A Robust Method for Vehicle License Plate Recognition based on Harries Corner Algorithm and Artificial Neural Network
%J International Journal of Computer Applications
%@ 0975-8887
%V 148
%N 4
%P 16-19
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Automatic vehicle license plate recognition system plays an important role in Intelligent Transportation System. Even though many license plate recognition methods have been proposed in the past, further scope for improvement still exists. This paper has proposed a new approach to license plate recognition system based Harris corner detection algorithm. In this paper connected component analysis is used for character segmentation and artificial neural networks for character recognition. It is observed from the experiments that the developed system successfully identifies and recognizes the vehicle number plate under different illumination conditions and independent of orientation and scale of the plate.

References
  1. License Plate Recognition, “How LPR works”, http://www.licenseplatesrecognition.com/index.html;2010
  2. Deb, K., Khan, I., Saha, A., & Jo, K. H. 2012 An Efficient Method of Vehicle License Plate Recognition Based on iding Concentric Windows and Artificial Neural Network. Procedia Technology, 4, 812-819.
  3. Parasuraman, Kumar, and P. Vasantha Kumar 2010. An efficient method for indian vehicle license plate extraction and character segmentation. In IEEE International Conference on Computational Intelligence and Computing Research, pp. 1475-1477.
  4. Yu, Shouyuan, Baopu Li, Qi Zhang, Changchun Liu, and Max Q-H. Meng 2015. A novel license plate location method based on wavelet transform and EMD analysis. Pattern Recognition 48, no. 1 114-125.
  5. Neto, Edson Cavalcanti, Samuel Luz Gomes, Pedro Pedrosa Rebouças Filho, and Victor Hugo C. de Albuquerque 2015. Brazilian vehicle identification using a new embedded plate recognition system. Measurement 70 36-46.
  6. Nguwi, Y. Y., and W. J. Lim 2015. Number plate recognition in noisy image. In2015 8th International Congress on Image and Signal Processing (CISP), pp. 476-480. IEEE.
  7. Qiao, S., Zhu, Y., Li, X., Liu, T., & Zhang, B. 2010. Research of improving the accuracy of license plate character segmentation. In 2010 Fifth International Conference on Frontier of Computer Science and Technology (pp. 489-493). IEEE.
  8. Jain, P., Chopra,N., Gupta, V. 2014. Automatic License Plate Recognition using OpenCV. International Journal of Computer Applications Technology and Research(pp. 756-761).
  9. Azad, Reza, Babak Azad, and Hamid Reza Shayegh 2014. Real-Time and Efficient Method for Accuracy Enhancement of Edge Based License Plate Recognition System. arXiv preprint arXiv:1407.6498.
  10. Al-Ghaili, Abbas M., Syamsiah Mashohor, Abdul Rahman Ramli, and Alyani Ismail 2013. Vertical-edge-based car-license-plate detection method. IEEE transactions on vehicular technology 62, no. 1 26-38.
  11. Deb, K., Khan, M. I., Alam, M. R., & Jo, K. H. 2011. Optical Recognition of Vehicle license plates. In Strategic Technology (IFOST), 2011 6th International Forum on (Vol. 2, pp. 743-748). IEEE.
Index Terms

Computer Science
Information Sciences

Keywords

Intelligent Transportation System Number Plate Connected Component Analysis Sliding Window Corner Point..

Powered by PhDFocusTM