NDLI: A New Method for License Plate Detection Based on Color and Edge Information of Lab Space

Content Provider	IEEE Xplore Digital Library
Author	Lei Xu
Copyright Year	2011
Abstract	License plate recognition (LPR) is one of the key technologies towards intelligent transportation system. Whether license plate can be detected precisely or not may affect the whole system's efficiency. Existing algorithms based on gray image have a poor result when a complicated background or a blurred license plate occurs, while algorithms based on color space cannot deal with the situation where the car and the plate have the same color. In order to solve these problems, a new method based on Lab space is presented in the paper. Firstly an algorithm for determining plates' color is developed. Then for blue-plate-included images and yellow-plate-included images, threshold matrix is selected respectively, which offers possible optimal thresholds in turn. And then the true plate area is filtered in accordance with the license plate prior knowledge. To tackle the problem that the car and the plate have the same color, a method based on vertical edge analysis and character region mergence is proposed, which can realize the secondary license plate location for such images. Experiments show that this algorithm can overcome the limitations of both the color-based methods and the gray- based methods and is less time consuming.
Starting Page	99
Ending Page	102
File Size	517906
Page Count	4
File Format	PDF
ISBN	9781612843148
e-ISBN	9781612843148
DOI	10.1109/CMSP.2011.26
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-05-14
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Image segmentation Image color analysis Image edge detection Morphology Vertical edge analysis Licenses License plate detection Lab space Pixel Morphological operations
Content Type	Text
Resource Type	Article

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