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- W2392013306 abstract "Good classification and generalization abilities can be obtained through using SVM algorithm when there are very few training samples.Firstly,the indistinguishable problem which is caused by multi-class SVM to recognize license plate characters is analyzed,and it can be resolved through fuzzy SVM;then the extracting character features method is discussed,and four characters classifier is design respectively based on SVM which are Chinese character,alphabet,digit,alphabet/digit classifiers;finally,the algorithm is trained through radial basis kernel function under MATLAB environment.The experiments show that this method can well improve the rate and efficiency of characters recognition." @default.
- W2392013306 created "2016-06-24" @default.
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- W2392013306 date "2012-01-01" @default.
- W2392013306 modified "2023-09-23" @default.
- W2392013306 title "License Plate Character Recognition Algorithm Research Based on SVM" @default.
- W2392013306 hasPublicationYear "2012" @default.
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