文章基本信息

标题：Moroccan-style PlateS Recognition Based on Support Vectors Machines
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作者：B. El Kessab ; C. Daoui ; B. Bouikhalene 等
期刊名称：International Journal of Software Engineering and Its Applications
印刷版ISSN：1738-9984
出版年度：2015
卷号：9
期号：12
页码：143-154
DOI：10.14257/ijseia.2015.9.12.13
出版社：SERSC
摘要：In this work we will create a system of recognition of Moroccan plate-style vehicle license plates using the invariant moments in features extraction and the support vectors machines such as Moroccan plate is slightly treated by researchers in pattern recognition field. In this context we propose a data set for Moroccan plates composed of 100 images capted with Samsung I9000 mobile camera with maximum resolution 2560 x 1920 dpi. For this purpose we have used in our system is composed by three main phases: the preprocessing of plates followed by the extraction of primitives with invariant moments method in order to convert each image into a vector number which is nothing other than an information extracted from this plate just to differentiate the others. Finally, our recognition system will end with a classification phase by the support vectors machines (SVM). Finally, the recognition system has been proved to be accurate and efficient by the experiment results.
关键词：Moroccan plates recognition; median filter; thresholding; normalization; ; thinning; centering; Hu; Zernike invariant moments; the support vectors machines