融合轮廓矩和Fourier描述子特征的压印字符识别  

Fusion of Outline Moment and the Fourier Descriptors for the Recognition of Pressed Characters

作　　者：李学勇[1] 路长厚[1] 李建美[1] 

机构地区：[1]山东大学机械工程学院,山东济南250061

出　　处：《光电子．激光》2007年第10期1244-1247,1259,共5页Journal of Optoelectronics·Laser

基　　金：教育部博士点基金资助项目(20060422011)

摘　　要：提出了一种基于混合轮廓特征的压印字符识别新方法。首先提取字符轮廓的矩不变量和Fourier描述子,然后将2种特征融合构成混合特征,最后将新特征输入BP网络进行识别。实验证明,混合轮廓特征不仅克服了2种特征单独使用时的缺点,提高了识别率,而且可以提高特征的平移、缩放以及旋转不变性。We proposed a novel recognition method for the pressed characters based on the mixed outline features. First, the moment invariants and the Fourier descriptors are extracted, then, the two kinds of features are fused to form mixed features;finally, the mixed features are put into the BP network to implement the recognition. The experiments proved that the mixed features can overcome the disadvantages of the two features used separately, improve the recognition rate, and enhance the features＇ invariability aganinst image rotation,scale change and translation.

关 键 词：压印字符 轮廓矩 Fourier描述子 特征融合 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]