NDLI: Technique study for vehicle license plate recognition based on semiconductor laser night vision

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2010 International Conference On Computer Design and Applications

Volume 5 - 2010

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Technique study for vehicle license plate recognition based on semiconductor laser night vision

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Volume 3 - 2010

Volume 2 - 2010

Volume 1 - 2010

Technique study for vehicle license plate recognition based on semiconductor laser night vision

Content Provider	IEEE Xplore Digital Library
Author	Zhang Yanlin
Copyright Year	2010
Description	Author affiliation: Computer Science Department, Wenzhou Vocational & Technical College, China (Zhang Yanlin)
Abstract	Semiconductor laser night-vision imaging system can better distinguish between background and car license plate characters by using laser as the light source. The system can realize how to obtain the car's license at night through image process and image recognition. Several processing techniques such as piecewise-linear transformation, edge detection, and image binarization, can be applied to achieve a better license plate image based on night vision devices,in which image recognition, feature selection, template matching, and other steps should be followed to obtain the license plate identification. The study provides a new method to extract vehicle license plate in real-time based on night-vision equipment, and a new means to recognize vehicle license plate at night.
File Size	638831
File Format	PDF
ISBN	9781424471645
e-ISBN	9781424471645
DOI	10.1109/ICCDA.2010.5540911
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-06-25
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Night vision Real time systems The semiconductor laser Image recognition Piecewise linear techniques Image edge detection Licenses Character recognition Vehicles Laser theory Semiconductor lasers Vehicle license Edge detection
Content Type	Text
Resource Type	Article

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