Handwritten Numbers and English Characters Recognition System

被引：1

作者：

Li, Wei ^{[1
]}

He, Xiaoxuan ^{[1
]}

Tang, Chao ^{[2
]}

Wu, Keshou ^{[1
]}

Chen, Xuhui ^{[1
]}

Yu, Shaoyong ^{[1
]}

Lei, Yuliang ^{[1
]}

Fang, Yanan ^{[1
]}

Song, Yuping ^{[3
]}

机构：

[1] Xiamen Univ Technol, Sch Comp & Informat Engn, Xiamen 361024, Peoples R China

[2] Hefei Univ, Dept Comp Sci & Technol, Hefei 230601, Peoples R China

[3] Xiamen Univ, Sch Math Sci, Xiamen 361005, Peoples R China

来源：

INTELLIGENT DATA ANALYSIS AND APPLICATIONS, (ECC 2016) | 2017年 / 535卷

关键词：

Handwritten character recognition; Image process; BP neural network;

D O I：

10.1007/978-3-319-48499-0_18

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we design a recognition system of the handwritten numerals and English characters based on BP neural network. In the system, we first make some preprocess to the image. Secondly, we extract the structural and statistical features of the image. Thirdly, we train a model on the data sets via BP neural network. Finally, we can predict the test image using the trained model. The experiments show that the handwritten numbers recognition rate can reach more than 94 % and the handwritten English characters is 44 % respectively. Besides that, the recognition rate of Handwritten number and English together is 78 %. It has been proved that our method is effective and robust.

引用

页码：145 / 154

页数：10

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