CFP last date
20 December 2024
Reseach Article

Survey of Number Plate Recognition for Use in Different Countries using an Improved Segmentation

by Neha Arora, Suricha Jain, Puran Gour
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 102 - Number 11
Year of Publication: 2014
Authors: Neha Arora, Suricha Jain, Puran Gour
10.5120/17863-8780

Neha Arora, Suricha Jain, Puran Gour . Survey of Number Plate Recognition for Use in Different Countries using an Improved Segmentation. International Journal of Computer Applications. 102, 11 ( September 2014), 47-50. DOI=10.5120/17863-8780

@article{ 10.5120/17863-8780,
author = { Neha Arora, Suricha Jain, Puran Gour },
title = { Survey of Number Plate Recognition for Use in Different Countries using an Improved Segmentation },
journal = { International Journal of Computer Applications },
issue_date = { September 2014 },
volume = { 102 },
number = { 11 },
month = { September },
year = { 2014 },
issn = { 0975-8887 },
pages = { 47-50 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume102/number11/17863-8780/ },
doi = { 10.5120/17863-8780 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:32:53.612786+05:30
%A Neha Arora
%A Suricha Jain
%A Puran Gour
%T Survey of Number Plate Recognition for Use in Different Countries using an Improved Segmentation
%J International Journal of Computer Applications
%@ 0975-8887
%V 102
%N 11
%P 47-50
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Automatic Number Plate Recognition (ANPR) is a mass surveillance system that captures the image of vehicles and recognizes their license number. ANPR can be assisted in the revealing of stolen vehicles. The recognition of stolen vehicles can be done in an efficient manner by using the ANPR systems located in the highways. ANPR systems are very useful to the law enforcement agencies as the need for Radio Frequency Identification tags and similar equipments are minimized. Since number plate guidelines are not stringently practiced universally, it often becomes difficult to correctly identify the non-standard number plate characters. In this paper we try to deal with this problem of ANPR by using a pixel based segmentation algorithm of the alphanumeric characters in the license plate. It has considered the Indian number plates, where rear follows the number plate standard. This system consist of few algorithm like "Feature based number plate Localization" for locating the number plate, "Image Scissoring" technique for character segmentation and proposed algorithm for character recognition using Support Vector Machine. System can recognize single or double line number plate.

References
  1. D. G. Bailey, D. Irecki, B. K. Lim and L. Yang "Test bed for number plate recognition applications", Proceedings of First IEEE International Workshop on Electronic Design, Test and Applications ( DELTA'02 ), IEEE Computer Society, 2002.
  2. R. A. Lotufo, A. D. Morgan, and AS. Johnson, 1990, "Automatic Number-Plate Recognition," Proceedings of the IEE Colloquium on Image analysis for Transport Applications, V01. 035, pp. 6/1-6/6, February 16, 1990.
  3. A. S. Johnson, B. M. Bird, 1990, "Number-plate Matching for Automatic Vehicle Identification," IEE Colloquium on Electronic Image and Image Processing in Security and Forensic, April, 1990.
  4. M. M. M. Fahmy, 1994, "Automatic Number-plate Recognition: Neural Network Approach," Proceedings of VNIS'94 Vehicle Navigation and Information System Conference, 3 1 Aug-2 Sept, 1994.
  5. Vehicle Registration Plates of India. Available: http://en. wikipedia. org/wiki/Vehicle_registration_plates_of_India.
  6. Ward Nicholson, "License Plate Fonts of the Western World",Available:http://www. leewardpro. com/articles/licplatefonts /licplate-fonts-intro. html.
  7. Parking and Traffic Technologies Ltd, Smartreg ANPR, Available: http://www. parkingandtraffic. co. uk/ANPR/smartreganpr.
  8. J. A. G. Nijhuis, M. H ter Brugge, and K. A. Helmolt, "Car License Plate recognition with network and fuzzy logic", in Proc. Of IEEE International Conference on Neural Networks. , volume 5, pp 2232- 2236, Dec 1995.
  9. Shyang-Lih Chang, Li Shein Chen, Yun-Chung Chung, and Sei- Wan Chen, " Automatic license plate recognition" IEEE Transaction Intelligent Transportation System, 5:42-53,2004.
  10. Ozbay, S. , Ercelebi, E. , "Automatic Vehicle Identification by Plate Recognition", in Proc of World Academy of Science, Engineering and Technology, Vol-9, November 2005 Available: http://www. oletc. org/ole tctoday/ 0415_licplate. pdf.
  11. Jerome Coninx, License Plate Mania, Available: http://www. licenseplatemania. com.
  12. P. Kulkarni (Student Member, IEEE), A. Khatri, P. Banga, K. Shah "A Feature Based Approach for Localisation of Indian Number Plates", in Proc of International Conference on Electro/Information Technology, IEEE, Windsor Canada, June, 2009.
  13. Genevieve Orr, Nici Schraudolph, and Fred Cummins, "Cs-449 Neural Networks", Willamette University, Available:http://www. willamette. edu/~gorr/classes/cs449/intro. htm l, Fall 1999.
  14. Tran Duc Duan, Tran Le Hong Du, Tran Vinh Phuoc, Nguyen Viet Hoang, "Building an Automatic Vehicle License-Plate Recognition System", in Proc of International Conf on Computer Science, RIVF'05, San Tho, Vietnam, Feb, 2005.
  15. S. Saha, S. Basu, M. Nasipuri, D. K. Basu, "Localization of License Plates from Surveilence Camera Images: A Color Feature Based ANN Approach", in International Journal on Computer Applications, vol-1(23), pp. 25-31, 2010.
  16. S. Saha, S. Basu, M. Nasipuri, D. K. Basu, "License Plate Localization from Vehicle Images: An Edge Based Multi-stage Approach", in International Journal of Recent Trends in Engineering (Computer Science), Vol 1, No. 1, pp. 284-288, May 2009.
Index Terms

Computer Science
Information Sciences

Keywords

Automatic Number Plate Recognition Character Segmentation Character Recognition Region Growing.