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A Review of License Plate Detection and Recognition Techniques

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IJCA Proceedings on National Workshop-Cum-Conference on Recent Trends in Mathematics and Computing 2011
© 2012 by IJCA Journal
RTMC - Number 13
Year of Publication: 2012
Authors:
Anju
Sumit Budhiraja

Anju and Sumit Budhiraja. Article: A Review of License Plate Detection and Recognition Techniques. IJCA Proceedings on National Workshop-Cum-Conference on Recent Trends in Mathematics and Computing 2011 RTMC(13):-, May 2012. Full text available. BibTeX

@article{key:article,
	author = {Anju and Sumit Budhiraja},
	title = {Article: A Review of License Plate Detection and Recognition Techniques},
	journal = {IJCA Proceedings on National Workshop-Cum-Conference on Recent Trends in Mathematics and Computing 2011},
	year = {2012},
	volume = {RTMC},
	number = {13},
	pages = {-},
	month = {May},
	note = {Full text available}
}

Abstract

Vehicle license plate detection and recognition is one of the active research areas now a day. There are two main stages in most license plate character recognition systems: features extraction and classification. There are several methods for detection of license plates in various conditions. Features can be extracted through various methods. Artificial Neural Networks are the most popular classification methods used for character recognition systems. In this paper, various techniques for detection and recognition of license plates are discussed.

References

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