Container number identification method based on multi-category support vector machines

A container number identification method based on multi-category support vector machines belongs to the technical field of image processing. The method is characterized by firstly acquiring container number character images; dividing the obtained image set into a letter image set and a number image set after binarization and normalization; then building two multi-category support vector machines and training the two multi-category support vector machines respectively by the eigenvector matrix of the letter image set and the eigenvector matrix of the number image set to obtain a multi-category support vector machine classifier SVC and a multi-category support vector machine classifier SVN; dividing the container number to be identified into 11 character mages in the container number identification process; and inputting the first four eigenvectors obtained by computation into the multi-category support vector machine classifier SVC to be identified and inputting the last seven eigenvectors into the multi-categ