DocumentCode
1883380
Title
License plate reader, data acquisition and analysis
Author
Rawat, Pramud
Author_Institution
Data Anal. & Simulation Services, LLC, Columbia, MD, USA
fYear
2015
fDate
14-16 April 2015
Firstpage
1
Lastpage
6
Abstract
Because of the design diversity, elaborate color schemes, and artwork of the North American license plates, the license plate reader (LPR) systems used to monitor the inbound traffic at international borders become a subject of special interest. Unique problems arise in extracting the plate from a car´s photographic image and then locating and reading the number of the plate and the name of its issuing jurisdiction for screening purposes. License plates used in other parts of the world do not pose as many problems in plate recognition as the North American plates do because of their simpler design and minimal design variations. The recent developments in cameras, microprocessors, image processing and pattern recognition capabilities, and secure high-data-rate data communication systems make it worthwhile to explore opportunities for improving the speed and accuracy of the American LPR systems. This paper is devoted to such an exploration.
Keywords
data acquisition; data analysis; image colour analysis; optical character recognition; American LPR system; North American license plate; cameras; color scheme; data acquisition; data analysis; design diversity; high-data-rate data communication system; image processing; international border; license plate reader system; microprocessor; pattern recognition capability; photographic image; plate recognition; screening purpose; Character recognition; Complexity theory; Image color analysis; Image segmentation; Licenses; Microprocessors; Monitoring; License plate reader (LPR); image processing; law enforcement; machine learning; optical character recognition (OCR); pattern recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Technologies for Homeland Security (HST), 2015 IEEE International Symposium on
Conference_Location
Waltham, MA
Print_ISBN
978-1-4799-1736-5
Type
conf
DOI
10.1109/THS.2015.7225339
Filename
7225339
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