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Chinese Character Recognition And Its Application In LPR System

Posted on:2004-06-12Degree:MasterType:Thesis
Country:ChinaCandidate:D Y LiuFull Text:PDF
GTID:2168360095453312Subject:Pattern Recognition and Intelligent Systems
Abstract/Summary:PDF Full Text Request
Chinese character recognition is an important research direction in the field of pattern recognition. It is of great value both in theory and practice and has applied in many circumstances, including official automation, high speed information processing, machine vision, etc. In the Intelligent Transportation System (ITS), automatic recognition of license plate by using the technique of character recognition can give facilities for vehicles' surveillance and management. So there's much prospect in the application.In chapter 2, some methods of pretreatment are introduced in detail, including algorithms of normalization and binarization for the image of license plate character. By comparing these methods, we select the bilinear interpolation and thresholding segmentation of maximum variance that have good performance, and all of these have applied in the course of preprocessing of Chinese character images.A survey of character recognition methods is presented in chapter 3. Comparison of some extracted feature matching algorithms based on statistical pattern recognition is conducted. These features are profile, mesh and projection of micro structure for distinguishing similar characters. For the sake of identifying some blurred images, a fuzzy template matching algorithm based on analysis of binary images' variability and its improved scheme is presented. Theoretical analyses and experimental results demonstrate that this method is very effective. Also, Bayesian classifier, subspace method and ANNare summarized in this chapter. They can be used for the next research.The techniques of mis-recognition model and multiple classifier combination are proposed and used in the system. On the basis of experimental analysis, two main parameters that have great effects on the recognition correctness of the system are ascertained: the first candidate's distance and the distance difference between the first and the second candidate. By using these parameters, multiple classifier combination can be realized and represent validity. In the actual LPR system, we applied two classifier combination based on serial method and its performance has meet the needs of customs.The latest progress of Chinese character recognition and the research prospect is presented in the last of this paper.
Keywords/Search Tags:Chinese character recognition, Image preprocessing, Feature extraction, Classifier design, Mis-recognition model, Multiple classifier combination, License Plate Recognition system.
PDF Full Text Request
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