基于二元树复数小波变换的文种自动识别  

Automatic Script Identification Based on Dual-Tree Complex Wavelet Transform

作　　者：朱华光[1] 平西建[1] 程娟[1] 

机构地区：[1]解放军信息工程大学信息工程学院,郑州450002

出　　处：《数据采集与处理》2008年第6期766-771,共6页Journal of Data Acquisition and Processing

摘　　要：提出了一种基于二元树复数小波变换的文字种类自动识别技术,相对于传统的离散小波变换,这种小波变换具有近似的平移不变性和良好的方向选择性等特点。在文本图像的特征提取中,可以得到更加稳定和更多方向的纹理特征。在实验中选取了6种语言(中文,英文,日文,韩文,俄文和阿拉伯文)不同格式和字体的文本图像,作实验结果表明:本文算法的识别效果要优于传统的离散小波变换算法。The technology of automatic script identification of a document image has important applications in the field of document analysis. This paper proposes a script identification technique based on dual tree complex wavelet transform. The transform provides approximate shift invariance and the good directional selectivity compared with the traditional real wavelet transform. The transform can extract more stable and directional texture feature from text images. Six languages （Chinese, English, Japanese, Korean, Russian, and Arabic） script samples are chosen with different formats and fonts to demonstrate the potential of the technology. Experimental results show that the method is more effective in script identification than the traditional method of real wavelet transform.

关 键 词：文种识剐 二元树复数小波变换 纹理特征 小波能量 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]