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The Research of Character Recognition of License Plate Based on SVM

Author: LuoChang
Tutor: ZengZhiYuan
School: Huazhong University of Science and Technology
Course: System Analysis and Integration
Keywords: License plate character recognition Statistical Learning Theory Support Vector Machine Character feature
CLC: TP391.41
Type: Master's thesis
Year: 2007
Downloads: 338
Quote: 5
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Abstract


Followed by a sharp increase in socio-economic development , the number of various types of vehicles . Intelligent Transportation Systems (ITS) has become the countries to solve increasingly prominent road traffic problems , the primary means of urban traffic management . Car license plate recognition (LPR) is an extremely important part of intelligent transportation system . Where the correct character recognition rate and speed are key indicators to measure the performance of license plate recognition system . Given the importance of the license plate character recognition technologies , many scholars have been engaged in the field and do some productive work . Many traditional character recognition technology for image processing , such as template matching method , artificial neural network methods have demonstrated some limitations : the need for a large number of character samples , and to promote less able to correctly identify the low rate of hard to really put into go to the actual engineering applications . Statistical Learning Theory (SLT) is learning on the basis of the small sample , it is to study the finite sample case statistics , pattern recognition establish a better theoretical framework , and introduced a new pattern recognition method ─ ─ support vector machine (SVM). SVM can overcome , such as local optimal solution , the curse of dimensionality problem plagued traditional pattern recognition methods exhibit good generalization performance and lower body in a small sample conditions . This paper focuses on the application of support vector machine license plate character recognition . First introduce some basic knowledge of statistical learning theory and support vector machine , more in-depth discussion of the support vector machine learning algorithm , and then study the character representation , wavelet grid characteristics of the characters and the projection features last programming completed a license plate character recognition software based on SVMLight algorithm . Correct recognition rate of more than 95% of the software in the case of small sample .

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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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