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A Robust Method for Vehicle License Plate Recognition based on Harries Corner Algorithm and Artificial Neural Network

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2016
Sangita Kumari, D. K. Gupta, Raj Mohan Singh

Sangita Kumari, D K Gupta and Raj Mohan Singh. A Robust Method for Vehicle License Plate Recognition based on Harries Corner Algorithm and Artificial Neural Network. International Journal of Computer Applications 148(4):16-19, August 2016. BibTeX

	author = {Sangita Kumari and D. K. Gupta and Raj Mohan Singh},
	title = {A Robust Method for Vehicle License Plate Recognition based on Harries Corner Algorithm and Artificial Neural Network},
	journal = {International Journal of Computer Applications},
	issue_date = {August 2016},
	volume = {148},
	number = {4},
	month = {Aug},
	year = {2016},
	issn = {0975-8887},
	pages = {16-19},
	numpages = {4},
	url = {},
	doi = {10.5120/ijca2016911075},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


Automatic vehicle license plate recognition system plays an important role in Intelligent Transportation System. Even though many license plate recognition methods have been proposed in the past, further scope for improvement still exists. This paper has proposed a new approach to license plate recognition system based Harris corner detection algorithm. In this paper connected component analysis is used for character segmentation and artificial neural networks for character recognition. It is observed from the experiments that the developed system successfully identifies and recognizes the vehicle number plate under different illumination conditions and independent of orientation and scale of the plate.


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Intelligent Transportation System, Number Plate, Connected Component Analysis, Sliding Window, Corner Point..