Multi-scale wavelet-based font recognition of Chinese character

被引：0
|
作者：
Li, XY [1 ]
Huang, JH [1 ]
Tang, XL [1 ]
机构：
[1] Harbin Inst Technol, Sch Comp Sci & Technol, Harbin, Peoples R China
来源：
Proceedings of the 8th Joint Conference on Information Sciences, Vols 1-3 | 2005年
关键词：
font recognition; wavelet analysis; wavelet energy density; artificial neural network;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Optical character recognition system research has been acquired great success. In this paper, a novel font recognition algorithm is proposed, which is based on multi-scale wavelet analysis. We adopt wavelet analysis and the grid method to deal with the character image, and extract wavelet energy density feature, and apply the BP Neural Network to classify the different fonts. The experiments show that the font recognition of Chinese character based on multi-scale wavelet analysis algorithm can effectively recognize the 4 kinds of the Chinese characters.
引用
收藏
页码：721 / 724
页数：4
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