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- W2389965203 abstract "In order to recognize container code precisely and effectively,a recognition method of container code based on support vector machine(SVM) classifier is proposed.On the basis of experiment by using many container code images and count recognition rate of various features,binary images with size of 36×22 pixels are obtained by preprocessing,container code locating and character segmentation.The character features including edge,center of mass,improved grayscale histogram and edge direction histo-gram are extracted and combined into feature vector which is processed by dimensionality reduction and normalization.The processed feature vector is classified and recognized through SVM classifier.Experiment results show that the average recognition rate can reach 95%,which is higher than that of single feature recognition,simple template matching algorithm and weighted feature(8-neighborhood) template matching algorithm." @default.
- W2389965203 created "2016-06-24" @default.
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- W2389965203 date "2011-01-01" @default.
- W2389965203 modified "2023-09-24" @default.
- W2389965203 title "Recognition method of container code based on SVM classifier" @default.
- W2389965203 hasPublicationYear "2011" @default.
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