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- W2360654315 abstract "Handwritten digits recognition has high practical value in the field of image processing and pattern recognition. In order to improve the recognition speed,at the premise of high recognition accuracy,a fast handwritten digits recognition method based on SVM is proposed. The new method which uses the separability measure between classes in the feature space to choose the best kernel parameters, can train SVM classifiers fast to recognize the handwritten digits. Due to the computation of separability measure is a simple iterative process,the time required for computing is far less than the time required for training SVM classifiers in traditional parameter optimization methods. Thus,the time for kernel parameters selection will be reduced greatly. Accordingly,the training speed will be increased,and so that the process of recognizing handwritten digits will also be speeded up,while ensuring better classification accuracy. The experiment results of testing MNIST show that the improved algorithm is feasible and effective." @default.
- W2360654315 created "2016-06-24" @default.
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- W2360654315 date "2014-01-01" @default.
- W2360654315 modified "2023-09-25" @default.
- W2360654315 title "Research on Method of Fast Handwritten Digits Recognition Based on SVM" @default.
- W2360654315 hasPublicationYear "2014" @default.
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