CFP last date
22 April 2024
Call for Paper
May Edition
IJCA solicits high quality original research papers for the upcoming May edition of the journal. The last date of research paper submission is 22 April 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

License Plate Character Recognition System using Neural Network

by Anuja P. Nagare
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 25 - Number 10
Year of Publication: 2011
Authors: Anuja P. Nagare
10.5120/3147-4345

Anuja P. Nagare . License Plate Character Recognition System using Neural Network. International Journal of Computer Applications. 25, 10 ( July 2011), 36-39. DOI=10.5120/3147-4345

@article{ 10.5120/3147-4345,
author = { Anuja P. Nagare },
title = { License Plate Character Recognition System using Neural Network },
journal = { International Journal of Computer Applications },
issue_date = { July 2011 },
volume = { 25 },
number = { 10 },
month = { July },
year = { 2011 },
issn = { 0975-8887 },
pages = { 36-39 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume25/number10/3147-4345/ },
doi = { 10.5120/3147-4345 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:11:27.699552+05:30
%A Anuja P. Nagare
%T License Plate Character Recognition System using Neural Network
%J International Journal of Computer Applications
%@ 0975-8887
%V 25
%N 10
%P 36-39
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Intelligent Transportation System (ITS) has become an integral part of the Transportation Industry these days and it consists of License Plate Recognition (LPR) System. License Plate Recognition is also called Car Plate Recognition (CPR) or Automatic Number Plate Recognition (ANPR) System. In LPR System, when a vehicle steps over magnetic loop detector it senses car and takes image of the car, following image preprocessing operations for improvement in the quality of car image. From this enhanced image, license plate region is recognized and extracted. Then character fragmentation/segmentation is performed on extracted License Plate and these segmented characters are recognized using Neural Network in this paper.

References
  1. Lee J. Nelson. Electro-Optical Technologies [Online]. Available: “http://www.photocop.com/recognition.htm.”
  2. Hsien-Chu WU, Chwei-Shyong TSAI, and Ching-Hao LAI, “A License Plate Recognition System in e- Government”, In proc. of An International Journal, 2004, Vol.15, No.2, pp.199-210.
  3. P G Hou, J Zhao and M Liu, “A License Plate Locating Method Based on Tophat-bothat Changing and Line Scanning”, In Proc. of International Symposium on Instrumentation Science and Technology, 2006, pp. 431–436.
  4. Antonio Albiol, Jose Manuel Mossi, Alberto Albiol, Valery Naranjo, “Automatic License Plate Reading Using Mathematical Morphology”, In proc. of Spanish Ministry of Science and Technology, 2002.
  5. Danilo Octavio[Online]. Available: “http://www-europe.mathworks.com/matlabcentral/fileexchange/18169-optical-character-recognition-ocr”, 2009.
  6. Kak, A.C., & Slaney, M., “Principles of Computerized Tomographic Imaging”, IEEE Press, NY, 1988, pp. 92-93.
  7. Dinesh Dileep, “A Feature Extraction Technique Based On Character Geometry For Character Recognition”, In proc. of Department of Electronics and Communication Engineering, Amrita School of Engineering, pp. 1-4.
  8. Jimmy Wales, Larry Sanger[Online]. Available : “http://en.wikipedia.org/wiki/Optical_character_recognition”, 2001.Z
  9. Michael Hogan,John W. Shipman, “OCR (Optical Character Recognition): Converting paper documents to text” In proc. of New Mexico Tech Computer Center, 2008, pp.1-4.
  10. cctvx – cctv [Online]. Available: “http://www.dbeech-associates.com/anpr.pdf.”
  11. Jianlan Feng Yuping Li Mianzhou, “The Research of Vehicle License Plate Character Recognition Method Based on Artificial Neural Network”, In proc. of 2nd International Asia Conference on Information in Control, Automation and Robotics, 2010, pp. 317-320.
  12. Bo Lin, Bin Fang, Dong-Hui Li, “Character Recognition Of License Plate Image Based On Multiple Classifiers” In proc. of International Conference on Wavelet Analysis and Pattern Recognition, Boading, 2009, pp. 138-143
  13. MengZe Zheng , QingYu Liu ,“Application of LVQ neural network to car license plate recognition”, In Proc. of Intelligent Systems and Knowledge Engineering (ISKE), 2010, pp. 287-290.
  14. Christos Stergiou and Dimitrios Siganos [Online]. http://www.doc.ic.ac.uk/~nd/surprise_96/journal/vol4/cs11/report.html.
  15. Jacek M. Zurada, Introduction to Artificial Neural System, West Publishing Company,10th ed. St.Paul, MN, 2004.
  16. Kishan Mehrotra, Chilukuri K. Mohan, Sanjay Ranka, Artificial Neural Networks, MIT press,1997.
  17. Kohonen, T., Self-Organization and Associative Memory, 2nd Edition, Berlin: Springer-Verlag, 1987.
  18. Martin T. Hagan, Howard B. Demuth, Mark Beale, Neural Network Design, Cengage Learning India Pvt. Ltd., 2nd Indian reprint2008.
Index Terms

Computer Science
Information Sciences

Keywords

LPR Character Segmentation Character Recognition

Powered by PhDFocusTM