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Research and Realization of License Plate Location Algorithm

Author: XuZheng
Tutor: PengQiang
School: Southwest Jiaotong University
Course: Applied Computer Technology
Keywords: License Plate Location Mathematical Morphology Tilt correction Frame difference
CLC: TP391.41
Type: Master's thesis
Year: 2010
Downloads: 235
Quote: 4
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Abstract


With the rapid economic development of the state and society, the improvement of people's living standards as well as the increasing popularity of highway, urban road traffic automation management has increasingly become a problem that we need to be solved. The emergence of the Intelligent Transportation Systems (Intelligent Transportation System, ITS) can not only effectively solve the traffic congestion problem for the emergency treatment of urban traffic, environmental protection and energy conservation, and it has a significant effect. Car license plate recognition system (License Plate Recognition System, LPRS) as ITS main and most important part of which the license plate location is the most crucial part of the whole recognition system. This paper studies the the early positioning algorithm based on the license plate color information and the early positioning algorithm based on mathematical morphology operation. The binarization algorithm color color early positioning algorithm based on the license plate of the first to use this article, then the coordinates of the four corners of the license plate area search and determine the license plate of the upper and lower. First Top-Hat the early positioning algorithm based on mathematical morphology operation to extract the peak in the vehicle and license plate images, and then use the the OTSU algorithm to second value of the license plate image and use the improved Sobel operator to extract the edge of the image, the last is the use of the extract connected region of the edges of the image to generate a license plate image and search for the license plate area, and eventually the early positioning plate region. Experiments comparative analysis of the advantages and disadvantages of two kinds of early positioning algorithm combined use of these two early positioning algorithm based on the application needs, and achieve the highest positioning accuracy and time complexity of the algorithm is the smallest. Secondly, when the license plate fine positioning of this article first analyzes the Hough transform the tilt detection algorithm and Radon transform skew detection algorithm, the results show that the latter is more suitable for this license plate tilt detection. Then steps up, down, left and right borders of the the fine positioning license plate character region, which mainly include the use of the upper and lower boundaries of the the fine positioning license plate of alternating light and dark method and use the boundary two steps about the license plate of the fine positioning of color information and texture information, and verified through experiments. The static image plate positioning based on further research the license plate positioning method based on video sequences, improved frame difference-based video image license plate positioning algorithm, and gives the experimental results of the algorithm Statistics. Finally, design development license plate positioning system software experiment platform and proposed algorithm was tested and compared, the results show that the positioning accuracy and time consumption of this system to achieve the practical standard.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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