一种结合结构和统计特征的脱机数字识别方法  

An Off-line Handwritten Numeral Recognition Method Combined With the Statistical Characteristics and Structural Features

作　　者：张玉叶[1] 姜彬[2] 李开端[1] 王春歆 

机构地区：[1]海军航空工程学院 [2]青岛大学信息工程学院 [3]北海舰队

出　　处：《微型电脑应用》2016年第8期76-79,共4页Microcomputer Applications

摘　　要：脱机手写数字识别归根结底是数字的图像特征匹配识别问题。为了提高识别效率,需要降低数字的特征维数;同时要提高数字识别的准确性,必须考虑手写数字的笔画结构不稳定的特点。提出了一种结合字符统计特征和结构特征的识别方法。首先,利用主分量分析法抽取数字字符图像的统计特征,通过对主分量重建模型的误差分析进行数字识别;为了进一步提高数字识别的准确度,再加入数字的宽高比结构特征进行比对识别。最后自制训练样本及测试样本库进行识别实验,实验结果表明本方法识别准确率较高。Off-line handwritten numeral recognition is a pattern recognition problem of the images of ten numbers. In order to improve the recognition efficiency, the character dimension of number＇s image should be decreased. As well, in order to improve the recognition veracity, the character mode instability which resulted from different writing styles and habits should be considered. The article proposed a numbers recognition method combined with the statistical characteristics and structural features of numbers. Firstly, the principal component analysis （PCA） method is adopted to extract statistical characteristics of numeral image. The numeral recog- nition will be realized through analysis of the reconstruction error of model which is reconstructed by the principal components. In order to further determine the type of numeral, the strnctttral features of width and height rate should be added. Finally, through ex- periments on the identification of numeral image, the reliability and accuracy of this method of digital recognition is verified, and the deficiency of this method in real-time recognition is analyzed.

关 键 词：脱机手写数字识别 主分量分析 结构特征 统计特征 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]