We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 December 2024
Reseach Article

Survey on Automatic Vehicle Number Plate Localization

by B. Balvinder Singh, V. Hima Deepthi
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 67 - Number 23
Year of Publication: 2013
Authors: B. Balvinder Singh, V. Hima Deepthi
10.5120/11533-7165

B. Balvinder Singh, V. Hima Deepthi . Survey on Automatic Vehicle Number Plate Localization. International Journal of Computer Applications. 67, 23 ( April 2013), 7-12. DOI=10.5120/11533-7165

@article{ 10.5120/11533-7165,
author = { B. Balvinder Singh, V. Hima Deepthi },
title = { Survey on Automatic Vehicle Number Plate Localization },
journal = { International Journal of Computer Applications },
issue_date = { April 2013 },
volume = { 67 },
number = { 23 },
month = { April },
year = { 2013 },
issn = { 0975-8887 },
pages = { 7-12 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume67/number23/11533-7165/ },
doi = { 10.5120/11533-7165 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:26:12.853066+05:30
%A B. Balvinder Singh
%A V. Hima Deepthi
%T Survey on Automatic Vehicle Number Plate Localization
%J International Journal of Computer Applications
%@ 0975-8887
%V 67
%N 23
%P 7-12
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper a survey is being carried out in the field of Automatic license plate localization. Automatic license plate recognition (ALPR) is to extract vehicle license plate information from an image or a sequence of images. The extracted information can be used with or without a database in many applications such as electronic payment systems, freeway and specific road monitoring systems for traffic surveillance. As a real-life application it has to quickly and successfully process license plates under different environmental conditions such as indoors, outdoors, day/night time. The localization or detection of the number plate of the vehicle images is the basis for any ALPR system. This is the first step in any LPR system and is considered as the most crucial step in the ALPR system. The success rate also depends mainly on this stage only. Hence the best localization or detection of the number plate is necessary to get the high recognition rate in any ALPR system. A survey has been made in this field by considering different methods that have been addressed to detect the number plate from the vehicle images. All these methods are categorized based on the features that they have used. At the end, a comparison is made in terms of advantages, drawbacks and possible enhancements.

References
  1. Zhang, Jia, Xiangjian He, "A Fast Algorithm for License Plate Detection in Various Conditions," 2006. IEEE International Conference on Systems, Man, and Cybernetics October 8-11, 2006.
  2. Cousineau, Matt, "The Global War on Terror and Automatic License Plate Recognition," Canadian Review of Sociology, Vol. 50, No. 1, February 2013.
  3. Amninder kaur, Sonika jindal, Richa jindal, "License Plate Recognition using Support Vector Machine (SVM)", International Journal of Advanced Research in Computer Science and Software Engineering Vol. 2, issue 7, July 2012.
  4. Xin Li, "Vehicle License Plate Detection and Recognition," MS Thesis, December 2010.
  5. Shan Du, Mahmoud Ibrahim, Mohamed Shehata, "Automatic License Plate Recognition (ALPR): A State of the Art Review," IEEE Transactions On Circuits And Systems For Video Technology, 2011.
  6. S. Wang and H. Lee, "Detection and recognition of license plate characters with different appearances," Int. Conf. Intell. Transp. Syst. , vol. 2, pp. 979-984, 2003.
  7. Satadal Saha , Subhadip Basu and Mita Nasipuri, "Automatic Localization and Recognition of License Plate Characters for Indian Vehicles," Int. J Comp Sci. Emerging Tech Vol-2 No 4 August, 2011.
  8. Dr. P. K. Ssuri, Dr. Ekta Walia, "Vehicle Number Plate Detection using Sobel Edge Detection Technique," IJCST Vol. 1, Issue 2, December 2010.
  9. PeterTarabek, "A Real-Time License Plate Localization Method Based on Vertical Edge Analysis," Proceedings of the Federated Conference on Computer Science and Information Systems pp. 149–154, 2012.
  10. Dhawal Wazalwar, Erdal Oruklu, Jafar Saniie,"A Design Flow for Robust License Plate Localization and Recognition in Complex Scenes,"Journal of Transportation Technologies, 2012, 2, 13-21.
  11. Humayun K. Sulehria, Ye Zhang, DanishIrfan, "Mathematical Morphology Methodology for Extraction of Vehicle Number Plates" International Journal Of Computers, Issue 3, Volume 1, 2007.
  12. Phalgun Pandya, Mandeep Singh, "Morphology Based Approach To Recognize Number Plates in India" International Journal of Soft Computing and Engineering (IJSCE),Volume-1, Issue-3, July 2011.
  13. Kaushik Deb, Hyun-Uk Chae, "Vehicle License Plate Detection Method Based on Sliding Concentric Windows and Histogram, "Journal Of Computers, Vol. 4, No. 8, August 2009.
  14. Haiqi Huang , Ming Gu, "An Efficient Method of License Plate Location in Natural-scene Image," Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008IEEE.
  15. C. N. Anagnostopoulos, I. Giannoukos, A. Psyllos, V. Loumos and E. Kayafas, "IntegratedVehicle Recognition and Inspection System to ImproveSecurity in Restricted Access Areas," 2010 13th International IEEE Annual Conference on Intelligent Transportation Systems Madeira Island, Portugal, September 19-22, 2010.
  16. Halina Kwa?nicka and Bartosz Wawrzyniak, "License plate localization and recognition in camera pictures,"AI-METH 2002 – Artificial Intelligence Methods November 13-15, 2002, Gliwice, Poland.
  17. R. C. Gonzalez, R. E. Woods, Digital Image Processing. 2ded. , Prentice Hall, Englewood Cliffs, NY, 2007
  18. Nadir Charniya, Automated Car License Plate Localization using Wavelet Analysis",International Journal of Computer Applications (0975 – 8887) Volume 42– No. 2, March 2012.
  19. Shyang-Lih Chang, Li-Shien Chen, Yun-Chung Chung, "Automatic License Plate Recognition," IEEE Transactions On Intelligent Transportation Systems, Vol. 5, No. 1, March 2004.
  20. Lisheng Jin , Huacai Xian , Jing Bie , Yuqin Sun ,Haijing Hou, "License Plate Recognition Algorithm for Passenger Cars in Chinese Residential Areas," Sensors 2012.
  21. Joaqu´?n Olivares, Jos´e M. Palomares, Jos´e M. Soto, and Juan Carlos G´amez, "License Plate Detection Based on Genetic Neural Networks, Morphology, and Active Contours," Springer-Verlag Berlin Heidelberg 2010.
  22. B. Hongliang and L. Changping, "A hybrid license plate extraction method based on edge statistics and morphology," in Proc. ICPR, 2004,pp. 831–834.
Index Terms

Computer Science
Information Sciences

Keywords

Automatic License Plate Recognition Edge detection Number plate localization(NPL) Morphology Wavelet transform