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The Research and Actualization of the Automatic Recognition of Vehicle License Plates

Author: QiuJinZuo
Tutor: SangMei
School: Tianjin University
Course: Photonics technology
Keywords: License Plate Recognition License Plate Location Projection Orthotics Threshold filtering In addition to noise
CLC: TP391.41
Type: Master's thesis
Year: 2010
Downloads: 194
Quote: 1
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Abstract


Increasingly serious traffic problems in to promote China is vigorously developing intelligent transportation system, to alleviate the pressure of constantly increasing traffic management. Intelligent transportation first need to solve the problem is how to effectively get the information of the vehicle, this information will be directly used as the basis of the intelligent traffic management. Automatic vehicle license recognition is not only to obtain important vehicle information and necessary links, but also an urgent need to solve difficult problems. This topic is a sub-project of the Digital Technology Co., Ltd. of Tianjin University, Tianjin Tiandi Albert cooperation projects, the purpose is to study the key of the license plate recognition algorithm and software platform on the image of the vehicle license plate positioning, segmentation and identification functionality. This article describes the license plate recognition algorithms and processing steps, and by existing theoretical algorithms and the actual situation of the domestic license plates, and combined with their own ideas on the license plate location, segmentation and recognition to try, in the course of the trial, emerging new thinking and analysis, and resolve to solve most of the problems, the last successful automatic recognition of the vehicle license. License plate positioning algorithm and character segmentation and recognition before preprocessing algorithm is more focused, and laid a good foundation for the back of the license plate recognition, and increase the final recognition accuracy. The following is the main tasks: 1 in the process of image preprocessing and proposed algorithms automatically determine the contrast of the deviation coefficient of the gray image, the success of the gray-scale image gray stretching increases the image the contrast; 2 with a first-order differential of rapid extraction of image contours and the edge of the process, raised the threshold filtering, under the premise of not missing license plate information of, effectively eliminating the interference information; 3. projection method search license plate location of the process , dynamic projection scan method, not only to improve the accuracy, but also reduces the search time; original image plate tilt and deformation in-depth research and analysis, and find a solution, this method plate tilt and deformation effect of the correction is satisfactory; 5. summary and analysis of the noise characteristics in the license plate area, Solutions, and came up with the noise reduction algorithm to successfully eliminate all noise of the license plate area; 6 programming in MATLAB software platform, read from the license plate image to the license plate character all automatic identification and output process.

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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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