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Vehicle Number Plate Recognition System: A Literature Review and Implementation using Template Matching

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 134 - Number 1
Year of Publication: 2016
Authors:
Aniruddh Puranic, Deepak K. T., Umadevi V.
10.5120/ijca2016907652

Aniruddh Puranic, Deepak K T. and Umadevi V.. Article: Vehicle Number Plate Recognition System: A Literature Review and Implementation using Template Matching. International Journal of Computer Applications 134(1):12-16, January 2016. Published by Foundation of Computer Science (FCS), NY, USA. BibTeX

@article{key:article,
	author = {Aniruddh Puranic and Deepak K. T. and Umadevi V.},
	title = {Article: Vehicle Number Plate Recognition System: A Literature Review and Implementation using Template Matching},
	journal = {International Journal of Computer Applications},
	year = {2016},
	volume = {134},
	number = {1},
	pages = {12-16},
	month = {January},
	note = {Published by Foundation of Computer Science (FCS), NY, USA}
}

Abstract

The growing affluence of urban India has made the ownership of vehicles a necessity. This has resulted in an unexpected civic problem - that of traffic control and vehicle identification. Parking areas have become overstressed due to the growing numbers of vehicles on the roads today. The Automatic Number Plate Recognition System (ANPR) plays an important role in addressing these issues as its application ranges from parking admission to monitoring urban traffic and to tracking automobile thefts. There are numerous ANPR systems available today which are based on different methodologies. In this paper, we attempt to review the various techniques and their usage. The ANPR system has been implemented using template Matching and its accuracy was found to be 80.8% for Indian number plates.

References

  1. Xiaojun Zhai, Faycal Bensaali, “Standard Definition ANPR System on FPGA and an Approach to Extend it to HD” in 2013 IEEE GCC Conference and exhibition, November 17-20, Doha, Qatar. pp.214
  2. H. Erdinc Kocer and K. Kursat Cevik, "Artificial neural networks based vehicle license plate recognition," Procedia Computer Science, vol. 3, pp. 1033-1037, 2011
  3. A Roy and D.P Ghoshal, "Number Plate Recognition for use in different countries using an improved segmentation," in 2nd National Conference on Emerging Trends and Applications in Computer Science(NCETACS), 2011, pp. 1-5
  4. Fikriye Öztürk and Figens Özen, "A New License Plate Recognition System Based on Probabilistic NeuralNetworks," Procedia Technology, vol. 1, pp. 124-128,2012
  5. Anton Satria Prabuwono and Ariff Idris, "A Study of Car Park Control System Using Optical Character Recognition," in International Conference on Computer and Electrical Engineering, 2008, pp. 866-870
  6. Ch. Jaya Lakshmi, Dr. A. Jhansi Rani, Dr. K. Sri Ramakrishna, and M. Kanti Kiran, "A Novel Approach for Indian License Recognition System," International Journal of Advanced Engineering Sciences and Technologies, vol. 6, no. 1, pp. 10-14, 2011
  7. Jianbin Jiao, Qixiang Ye, and Qingming Huang, "A configurable method for multi-style license platerecognition," Pattern Recognition, vol. 42, no. 3, pp. 358-369, 2009
  8. Zhigang Zhang and Cong Wang, "The Research of Vehicle Plate Recognition Technical Based on BP Neural Network," AASRI Procedia, vol. 1, pp. 74-81, 2012
  9. Ying Wen, "An Algorithm for License Plate recognition Applied to Intelligent Transportation System", IEEE Transactions of Intelligent Transportation Systems. pp. 1-16, 2011
  10. Chirag Patel, Dipti Shah, Atul Patel," Automatic Number Plate Recognition System (ANPR): A Survey", International Journal of Computer Applications, 2013
  11. Yang Yang, Xuhui Gao, and Guowei Yang, "Study the Method of Vehicle License Locating Based on Color Segmentation," Procedia Engineering, vol. 15, pp. 1324-1329, 2011
  12. SaimaRafique, Mahboob Iqbal and Hafiz Adnan Habib, “Space Invariant Vehicle Recognition for Toll Plaza Monitoring and Auditing System”, Multitopic Conference, 2009. INMIC 2009,IEEE 13th International, pp. 1-6
  13. Fajas F., Farhan Yousuf, Remya P. R., Adarsh P. Pavanan, Sajan Ambadiyil and Varsha Swaminathan, ”Automatic Number Plate Recognition for Indian Standard Number Plates”, Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), 2012 4th International Congress, pp. 1026-1028
  14. Weihua Wang, "Reach on Sobel Operator for Vehicle Recognition, "International Joint Conference on Artificial Intelligence, pp.448-451, 2009
  15. Saeid Rahati, Reihaneh Morvejian, Ehsan M. Kazemi and Farhad M. Kazem “Vehicle Recognition Using Contourlet Transform and SVM,” Proceedings of the Fifth International Conference on Information Technology, 2008
  16. M.A. Sotelo , J. Nuevo , L.M. Bergasa and M. Ocana, “Road Vehicle Recognition in Monocular Images,” IEEE Symposium on Industrial Electronics, 2005
  17. Bone P, Young R, Chatwin C. “Position, rotation, scale, and orientation-invariant multiple object recognition from cluttered scenes,” Opt Eng2006; 45:077203
  18. Xiaojun Zhai, Faycal Bensaali and Reza Sotudeh, “OCR-Based Neural Network for ANPR” in IEEE, 2012. Pp1
  19. Y. Amit, D. Geman, and X. Fan, “A coarse-to-fine strategy formulticlass shape detection,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 26, pp. 1606-1621, 2004
  20. C. Oz, and F. Ercal, “A Practical License Plate Recognition System for Real-Time Environments. Computational Intelligence and Bio-inspired System,” Lecture Notes in Computer Science, vol. 3512/2005, pp.497-538, 2005
  21. S.L. Chang, L.S. Chen, Y.C. Chung and S.W. Chen, “Automatic license plate recognition,” IEEE Transactions on Intelligent Transportation Systems, vol. 5, pp. 42-53, 2004
  22. Y. Wen, Y. Lu, J. Yan, Z. Zhou, von Deneen K.M. and P. Shi, “An Algorithm for License Plate Recognition Applied to Intelligent Transportation System,” IEEE Transactions on Intelligent Transportation Systems, vol. 12, pp. 830-845, 2011
  23. X. Pan, X. Ye and S. Zhang, “A hybrid method for robust car plate character recognition,” presented at the IEEE International Conference on Systems, Man and Cybernetics, 2004
  24. C. Anantha Reddy, C. Shoba Bindu, “Multi-Level Genetic Algorithm for Recognizing Multiple License Plates in a Single Image”, Journal of Innovation in Computer Science and Engineering, 2015
  25. Anand Sumatilal Jain, Jayshree M. Kundargi, “Automatic Number Plate Recognition Using Artificial Neural Network”, International Research Journal of Engineering and Technology (IRJET), 2015

Keywords

Educational Institutions, Automatic Number Plate Recognition, Artificial Neural Networks, Template Matching.