A Printed Chinese Character Recognition Method Based on Area Brightness Feature

被引：0
|
作者：
Ke, Yonghong [1 ]
机构：
[1] Beijing Normal Univ, Res Ctr Folklore Class & Chinese Characters, Beijing, Peoples R China
来源：
CHINESE LEXICAL SEMANTICS (CLSW 2019) | 2020年 / 11831卷
关键词：
Chinese character recognition; Printed Chinese character recognition; Area brightness feature;
D O I：
10.1007/978-3-030-38189-9_35
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper proposes a method for printed Chinese character recognition based on the area brightness feature, which is simple and has a low computational cost. It can achieve over 93% accuracy in recognizing printed Chinese characters equal to or greater than 10.5 pt which can meet the needs of certain situations (such as screen capture). The disadvantage of this method is its poor anti-distortion handling ability, and the recognition accuracy of smaller images still needs to be improved.
引用
收藏
页码：329 / 336
页数：8
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