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

Survey on Automatic Number Plate Recognition (ANR)

by Kiran Sonavane, Badal Soni, Umakanta Majhi
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 125 - Number 6
Year of Publication: 2015
Authors: Kiran Sonavane, Badal Soni, Umakanta Majhi
10.5120/ijca2015905920

Kiran Sonavane, Badal Soni, Umakanta Majhi . Survey on Automatic Number Plate Recognition (ANR). International Journal of Computer Applications. 125, 6 ( September 2015), 1-4. DOI=10.5120/ijca2015905920

@article{ 10.5120/ijca2015905920,
author = { Kiran Sonavane, Badal Soni, Umakanta Majhi },
title = { Survey on Automatic Number Plate Recognition (ANR) },
journal = { International Journal of Computer Applications },
issue_date = { September 2015 },
volume = { 125 },
number = { 6 },
month = { September },
year = { 2015 },
issn = { 0975-8887 },
pages = { 1-4 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume125/number6/22433-2015905920/ },
doi = { 10.5120/ijca2015905920 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:15:17.059235+05:30
%A Kiran Sonavane
%A Badal Soni
%A Umakanta Majhi
%T Survey on Automatic Number Plate Recognition (ANR)
%J International Journal of Computer Applications
%@ 0975-8887
%V 125
%N 6
%P 1-4
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Day by day we have been heard about the news of vehicle getting stolen from parking or from any other place in the city. So, to keep track of that stolen vehicle we should have to install the CCTV camera on every signal in the city. Also we have to install the number plate detection system which can detect the number plate of every vehicle on the traffic signal. For detecting the number plate from the moving vehicle there are many algorithm has been developed but still this area always remain evolving each every year, In number plate detection system image processing plays an important role, the system consist of basic operations preprocessing, image conversion from RGB to Gray, apply edge detection, apply morphological operators on same image then extract plate region from image and last process the plate region using OCR (optical character recognition).Every algorithm in this category always follows this basic steps, each algorithm has some pros and cons, because same algorithm cannot be useful for different environmental condition. The Algorithm’s efficiency is totally depends upon the quality of input image. E.g. resolution of camera, intensity of the image, illumination of image, shadow effect etc. In this paper we are focusing on which are different algorithm has been developed so far to improve the efficiency of the number plate detection system.

References
  1. Nima Farajian, Morteza Rahimi B,” Algorithms for licenseplate detection :A survey”, First International Congress on Technology, Communication and Knowledge (ICTCK 2014) November, 26-27, 2014 - Mashhad Branch, Islamic Azad University, Mashhad, Iran.
  2. Muhammad Tahir Qadri and Muhammad Asif, “Automatic Number Plate Recognition System For Vehicle Identification Using Optical Character Recognition” 2009 International Conference on Education Technology and Computer.
  3. Abdul Mutholib,Teddy S. Gunawan,Jalel Chebil,Mira Kartiwi, “Development of portable Automatic Number plate recognition system on android Mobile Phone” 5th International Conference on Mechatronics(ICOM’13).
  4. Kim, K. I., Jung, K. And Kim, J. H “Color texture-based object detection: an application to license plate localization”, Patten Recognition with Support Vector Machines,Lecture Notes on Computer Science, 2002, 2388/2002, pp. 321-335.
  5. Mr. G. T. Sutar and Prof. Mr. A.V. Shah “Number Plate Recognition Using an Improved Segmentation” International Journal of Innovative Research in Science, Engineering and Technology(An ISO 3297: 2007 ertifiedorganization) Vol. 3, Issue 5, May 2014.
  6. Abo Samra and F. Khalefah,”Localization of License Plate Number Using Dynamic Image Processing Techniques and Genetic Algorithms” IEEE transactions on evolutionary computation, vol. 18, no. 2, April 2014.
  7. Jitendra Sharma amitmishra Khushboo Saxena, Shiv Kumar “A Hybrid Technique for License Plate Recognition Based on Feature Selection of Wavelet Transform and Artificial Neural Network” 2014 International Conference on Reliability, Optimization and Information Technology - ICROIT 2014, India, Feb 6-8 2014.
  8. Hanit Karwal, Akshay Girdhar, “Vehicle Number Plate Detection System for Indian vehiclesreview” 2015 IEEE International Conference on Computational Intelligence & Communication Technology.
  9. Priyanka Prabhakar, Anupama P and Resmi S R,” Automatic Vehicle Number Plate Detection and Recognition” 2014 International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT).
  10. Keerti Puloria and Sachin Mahajan, “A Review on Automatic Number Plate Recognition System”, International Journal of Software and Hardware Research in Engineering. Volume 3, issue 1, January 2015.
  11. Sarbjit Kaur and Sukhvir Kaur “An Efficient Approach for Number Plate Extraction from Vehicles Image under Image Processing” (IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 5 (3), 2014, 2954-2959. 2-11.
  12. P.Anishiya, S. Mary Joans, “Number Plate Recognition for Indian Cars Using Morphological Dilation and Erosion with the Aid Of Ocrs” ,2011 International Conference on Information and Network Technology IACSIT Press, Singapore
  13. V. Swetha, D.R. Sandeep, “Automatic Authorized Vehicle Recognition System”, Chennai and Dr.MGR University Second International Conference on Sustainable Energy and Intelligent System (SEISCON 2011) Dr. M.G.R. University, Maduravoyal, Chennai, Tamil Nadu, India. July. 20-22, 2011.
  14. Kotaro Haneda, Hiroshi Hanaizumi, “A Flexible Method for Recognizing Four-Digit Numbers on A License-Plate in A Video Scene”, ICIT 2012, 978-1-4673-0342-2112/$31.00 ©20 12 IEEE
  15. P.Vijayalakshmi and M.Sumathi,”Design of Algorithm for Vehicle Identification by Number Plate Recognition”, IEEE- Fourth International Conference on Advanced Computing, icoac 2012 MIT, Anna University, Chennai. December 13-15, 2012
  16. Veena M.N, and Vasudev .T,”Localization of vehicle number plate based on watershed transform and visualization technique” Contemporary Computing and Informatics (IC3I), 2014 International Conference 2014 IEEE
  17. Samira Nigrel, Akash Ashokan, Bidisha Barua, Slesha Patil,Vaibhavi Patil,” Identification of Vehicle by Number Plate Recognition Using Genetic Algorithm”, International Journal of Advanced Research in Computer and Communication Engineering Vol. 4, Issue 2, February 2015.
  18. Teena Singh Rajput,”Automatic Vehicle Number Plate Recognition Using Morphological Edge Detection and Segmentation”, International Journal of Emerging Technology and Advanced Engineering (ISSN 2250-2459, ISO 9001:2008 Certified Journal, Volume 5, Issue 1, January 2015)
  19. Amirgaliyev Beibut, Kairanbay Magzhan,Kenshimov Chingiz,“Effective Algorithms and Methods for Automatic Number Plate Recognition”,
  20. Kumar Parasuraman and and Subin P.S,”SVM Based License Plate Recognition System”, 2010 IEEE International Conference on Computational Intelligence and Computing Research.
  21. Chetan Sharma and Amandeep Kaur,”Indian Vehicle License Plate Extraction And Segmentation”, International Journal of Computer Science and Communication Vol. 2, No. 2, July-December 2011, pp. 593-599
  22. Sneha Patel,”Vehicle License Plate Recognition Using Morphology And Neural Network”, International Journal on Cybernetics & Informatics ( IJCI) Vol.2, No.1, February 2013
  23. Anuja P Nagare,”License Plate Character Recognition System using Neural Network”, International Journal of Computer Applications (0975 – 8887) Volume 25– No.10, July 2011
Index Terms

Computer Science
Information Sciences

Keywords

Edge Detection Morphological operator OCR preprocessing ANR (Automatic Number plate Recognition system).

Powered by PhDFocusTM