A Case Study on Rubbing Character Recognition Based on Deep Learning

Abstract

This paper presents an case study which explored the classification performance of rubbing characters by utilizing deep neural networks. In the evaluation experiments, several mainstream deep neural networks are employed to realize the recognition of the rubbing characters. The purpose of this work is to examine the classification performance of the prevalent neural networks and collect the necessary information for our future works.