RECOGNITION OF JAPANESE HANDWRITTEN CHARACTERS USING NEURAL NETWORKS

Abstract

This paper describes solving the problem of detection and classification of written Japanese letters using convolutional neural networks. The solution consists of three modules: data processing module, detection module and classification module. One convolutional neural network was used for detection and one for letter classification. The classification was done on different groups of Japanese letters.