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A Review of Recognition Techniques in ALPR Systems

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2017
Sahil Khokhar, Pawan Kumar Dahiya

Sahil Khokhar and Pawan Kumar Dahiya. A Review of Recognition Techniques in ALPR Systems. International Journal of Computer Applications 170(6):30-32, July 2017. BibTeX

	author = {Sahil Khokhar and Pawan Kumar Dahiya},
	title = {A Review of Recognition Techniques in ALPR Systems},
	journal = {International Journal of Computer Applications},
	issue_date = {July 2017},
	volume = {170},
	number = {6},
	month = {Jul},
	year = {2017},
	issn = {0975-8887},
	pages = {30-32},
	numpages = {3},
	url = {},
	doi = {10.5120/ijca2017914867},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


‘Automatic License Plate Recognition (ALPR)’ is the process of locating & extracting plate information from images or videos. The extracted information is essential for several everyday applications, ranging from automated payment services (parking, toll roads payment collection, etc.) to more critical applications, like border security and traffic surveillance. The format of license plate varies from region to region, so the ALPR systems also tend to be region-specific. The paper presents a state-of-the-art review of earlier work done in this field of technology, especially, the recognition technique.


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Automatic License Plate Recognition (ALPR), Support Vector Machine (SVM), Artificial Neural Network (ANN).