NDLI: An efficient algorithm on vehicle license plate location

Content Provider	IEEE Xplore Digital Library
Author	Bei Chen Wenlun Cao Hongcai Zhang
Copyright Year	2008
Description	Author affiliation: Northwestern Polytech. Univ., Xi'an (Bei Chen; Wenlun Cao; Hongcai Zhang)
Abstract	This paper presents an efficient and smart approach to the vehicle license plate location based on characteristics of fractal dimension. The proposed algorithm consists of three major parts: pretreatment of license plate, search of license plate and extraction of plate region. In this study, we firstly research the normalization of license plate image and the criteria how to select the image enhancement method of license plate. Then the fractal dimension of license region and the interval of fractal dimension are all calculated. Finally the ultimate license plate region can be determined. The outstanding advantage of this algorithm is simple, smart and fast. Moreover it not only can be used to all kind of license plate in China but also has a good robustness under complex background, nonuniform illumination conditions and inclined license plate conditions. The performance of the proposed algorithm has been tested on a large number of experimental data from random and real images. Based on the experimental results, our algorithm shows both the missing rate and false detection rate are all zero. The possibility that the candidate region is more than one is 20%, meanwhile the probability of correction for inspect is 100%. The fact that this approach has superior performance in car license plate location is worth to note.
Starting Page	1386
Ending Page	1389
File Size	318090
Page Count	4
File Format	PDF
ISBN	9781424425020
DOI	10.1109/ICAL.2008.4636370
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-09-01
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Character Extraction Image color analysis Lighting Signal processing algorithms Color Fractals Intelligent Traffic System Image enhancement Vehicle License Plate Location Vehicles
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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