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License Plate Recognition Using Neural Network with Matlab

Author: ZhouKeWei
Tutor: ZhangXiangDong
School: Xi'an University of Electronic Science and Technology
Course: Traffic Information Engineering \u0026 Control
Keywords: License Plate Recognition Neural Networks Character Recognition Feature Extraction
CLC: TP391.41
Type: Master's thesis
Year: 2009
Downloads: 990
Quote: 10
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Abstract


With China's rapid economic development , the sharp increase in car ownership , road traffic has become a major transport pathway , is one of the infrastructure to develop the country . Therefore, modern and intelligent traffic management to become more and more important and urgent to force . The use of electronic information technology to improve management efficiency , traffic efficiency and safety be intelligent transportation system has become the theme of the development of traffic management . One of the core technology of the modern and intelligent traffic management is automatic license plate recognition technology . Compared with traditional vehicle management methods , which greatly improve the management efficiency and level , saving manpower, material , scientific and vehicle management , standardization, and played a role in safeguarding traffic security , has broad application prospects . The neural network pattern recognition is an important research direction for the rise in recent years , the field of pattern recognition . A neural network is a highly parallel , non-linear systems with high redundancy . The structure of such a system so that the knowledge representation and storage, so that the mode of information processing procedures , and with a great difference in the conventional pattern recognition method . It has a highly non-linear and self- learning , self-organizing capacity so that it has a unique advantage . Accuracy of license plate recognition system continue to put forward new demands in intelligent traffic management system , neural network theory is applied to the vehicle license plate recognition , have good theoretical and practical value . This paper choose as recognition method based on BP neural network pattern recognition technology . To improve the traditional BP neural network recognition method , so as to further improve the recognition rate of the network .

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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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