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

An Efficient Technique to Locate Number Plate using Morphological Edge Detection and Character Matching Algorithm

by Suprokash Dey, Amitava Choudhury, Joydeep Mukherjee
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 101 - Number 15
Year of Publication: 2014
Authors: Suprokash Dey, Amitava Choudhury, Joydeep Mukherjee
10.5120/17766-8883

Suprokash Dey, Amitava Choudhury, Joydeep Mukherjee . An Efficient Technique to Locate Number Plate using Morphological Edge Detection and Character Matching Algorithm. International Journal of Computer Applications. 101, 15 ( September 2014), 36-41. DOI=10.5120/17766-8883

@article{ 10.5120/17766-8883,
author = { Suprokash Dey, Amitava Choudhury, Joydeep Mukherjee },
title = { An Efficient Technique to Locate Number Plate using Morphological Edge Detection and Character Matching Algorithm },
journal = { International Journal of Computer Applications },
issue_date = { September 2014 },
volume = { 101 },
number = { 15 },
month = { September },
year = { 2014 },
issn = { 0975-8887 },
pages = { 36-41 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume101/number15/17766-8883/ },
doi = { 10.5120/17766-8883 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:31:46.300402+05:30
%A Suprokash Dey
%A Amitava Choudhury
%A Joydeep Mukherjee
%T An Efficient Technique to Locate Number Plate using Morphological Edge Detection and Character Matching Algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 101
%N 15
%P 36-41
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper describes an efficient technique of locating and extracting license plate and recognizing each segmented character. The proposed model can be subdivided into four parts- Digitization of image, Edge Detection, Separation of characters and Template Matching. In this work, we propose a method which is based on morphological operations where different Structuring Elements (SE) are used to maximally eliminate non-plate region and enhance plate region. Character segmentation is done using Connected Component Analysis. Correlation based template matching technique is used for recognition of characters. This system is implemented using MATLAB7. 4. 0. The proposed system is mainly applicable to Indian License Plates.

References
  1. A. M. Al-Ghaili, S. Mashohor, A. R. Ramli, and A. Ismail "Vertical-Edge-Based Car-License-Plate Detection Method," IEEE transaction on vehicular technology, vol. 62, no. 1, 2013, pp. 26-38
  2. K. Deb, M. K. Hossen, M. I. Khan, and M. R. Alam, "Bangladeshi vehicle license plate detection method based on HSI color model and geometrical properties IEEE," 2013, pp. 1-5.
  3. P. Saiyadi, "Optimizing the Vehicle Plate Recognition Using the Mathematical Morphology," Journal of Basic and Applied Scientific Research, 2012, pp. 9044-9048
  4. HalinaKwasnicka and BartoszWawrzyniak, "License Plate Localization and Recognition in Camera Pictures", Faculty Division of Computer Science, Wroclaw University of Technology, Artificial Intelligence Methods, November 13-15, 2002, Gliwice, Poland
  5. J. R. Parker, PavolFederl, "An Approach to License Plate Recognition", Computer Science Technical Report (1996-591-11), 1996
  6. Turchenko V. ,Kochan V. , Koval V. , Sachenko A. and Markowsky G. Smart Vehicle Screening System Using Artificial Intelligence Methods, Proceedings of 2003 Spring IEEE Conference on Technologies for Homeland Security, May 7-8, 2003, Cambridge, MA, pp. 182-185.
  7. H. Obeid and R. Zantout, "Line Processing: An Approach to ALPR Character Recognition", 2007 ACS/IEEE International Conference on Computer Systems and Applications, Amman, Jordan, May 13-16
  8. K. Deb, H. U. Chae, and K. H. Jo, "Vehicle license plate detection method based on sliding concentric windows and histogram", Journal of Computers, vol. 4, No. 8, pp. 771-777, 2009.
  9. Z. C. Zhang, Y. Y. Tang, "License plate recognition algorithm based on derived kernel," International Conference on Wavelet Analysis and Pattern Recognition IEEE, 2012, pp. 238-243
  10. P. Kanani, A. Gupta, D. Yadav, R. Bodade, and R. B. Pachori, "Vehicle license plate localization using wavelets", Proceedings IEEE Conference on Informational Communication Technologies, Thuckalay, India, April 11-12, 2013.
  11. Z. Zhang and S. Yin, ''Hough transform and its application in vehicle license plate tilt correction," Computer and Information Science, vol. 1, pp. 116-119, 2008.
  12. Turchenko V. , Kochan V. , Koval V. , Sachenko A. and Markowsky G. Smart,"Vehicle Screening System Using Artificial Intelligence Methods", Proceedings of 2003 Spring IEEE Conference on Technologies for Homeland Security, May 7-8, 2003, Cambridge, MA, pp. 182-185.
  13. H. Obeid and R. Zantout, "Line Processing: An Approach to ALPR Character Recognition", 2007 ACS/IEEE International Conference on Computer Systems and Applications, Amman, Jordan, May 13-16
  14. W. Jia, H. Zhang, and X. He, "Region-based license plate detection", Journal of Network. and Computer Appl. , vol. 30, issue 4, pp. 1324-1333, 2007.
  15. S. -L. Chang, L. -S. Chen, Y. -C. Chung, and S. -W. Chen, "Automatic license plate recognition", IEEE Trans. Intell. Transp. syst. vol. 5, no. 1, pp. 42-53, March, 2004.
  16. Sourav Roy, Amitava Choudhury, Joydeep Mukherjee,"An Approach towards Detection of Indian Number Plate from Vehicle", International Journal of Innovative Technology and Exploring Engineering (IJITEE) ISSN: 2278-3075, Volume-2, Issue-4, March 2013.
Index Terms

Computer Science
Information Sciences

Keywords

License plate Edge Detection Character Segmentation Connected Component Analysis Template Matching

Powered by PhDFocusTM