The Recognition and Implementation of Handwritten Character based on Deep Learning

被引：0
|
作者：
Dai, Fengzhi [1 ]
Ye, Zhongyong [1 ]
Jin, Xia [1 ,2 ]
机构：
[1] Tianjin Univ Sci & Technol, Dept Automat, Coll Elect Informat & Automat, Tianjin, Peoples R China
[2] Tianjin Tianke Intelligent & Manufacture Technol, Tianjin, Peoples R China
来源：
JOURNAL OF ROBOTICS NETWORKING AND ARTIFICIAL LIFE | 2019年 / 6卷 / 01期
关键词：
Deep learning; machine learning; pattern recognition; handwritten character recognition; convolution neural network;
D O I：
10.2991/jrnal.k.190601.002
中图分类号：
TP24 [机器人技术];
学科分类号：
080202 ; 1405 ;
摘要：
This paper mainly focuses on the recognition of Chinese handwritten characters. By using the deep learning technology, a deep convolution neural network (CNN) is constructed to identify the handwritten character set, and finally gets the network structure that can be used for recognition. By comparing with other handwritten characters, the engineering application value of the network structure used in this paper is proved, and finally the handwritten character recognition system based on this model also embodies the feasibility of the network structure. (C) 2019 The Authors. Published by Atlantis Press SARL.
引用
收藏
页码：52 / 55
页数：4
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