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License Plates Chinese Character Recognition Technology To Achieve

Posted on:2007-03-16Degree:MasterType:Thesis
Country:ChinaCandidate:F ZhuFull Text:PDF
GTID:2208360185486899Subject:Computer application technology
Abstract/Summary:PDF Full Text Request
License plate Recognition(LPR) is the kernel resolution of Intelligent Transport System(ITS). It is widely used in the toll station,automatic payment highway fee,parking lot management,etc. LPR contains three sections — license plate localization,char extraction and char recognition. It integrated technologies such as pattern recognition, artificial intelligence, computer vision and image processing ,etc. This paper solves one of critical technology problems in LPR—license-plate Chinese character recognition, This study has biggish theory meaning and practice value.The main researches about Chinese character recognition of vehicle license plate and its corresponding technique in this paper are as follows:(1) The pre-processing for image is essential before character recognition. This paper firstly uses the experience knowledge to give a roughly orientation,then set a carefully orientation based on Otsu arithmetic,finally get the whole clear license plate.In order to solve the problem of character extraction,the fly-back method is put forward:the experience knowledge is made the best of.(2) An algorithm of feature extraction from grayscale image based on optimization Gabor filters is proposed. The performance of Gabor features depends strongly on filter parametes,in order to determine optimal values of filter parameters.we set parameters by the statistical information of Chinese character images and the leave-one-out method.The features extracted by this method which avoid losing the fabric of characters,are low-dimensional vectors.Compared with binary algorithm,this approach is robust and succeds.(3) Improving BP network has been applied into recognition system and much research about it has been done in this paper.BP network has slow convergence speed and is easy to fall into local least spot .To solve the two main problem, momentum gene and a self-adaptive learning rate have been imposed.Experiment result shows this algorithm can improve the recognition nicety of network.(4) At last,we design a prototype system of Chinese character on vehicle license plate recognition system based on object-orient methods and prove the effectivity of above algorithms of some experiments.
Keywords/Search Tags:pattern recognition, Vehicl-License-plate detection, Gabor filters, BP Neural Network, vehicle-license-plate Chinese character recognition
PDF Full Text Request
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