机构地区: 华南理工大学计算机科学与工程学院
出 处: 《微电子学与计算机》 2005年第2期154-157,共4页
摘 要: 文章利用各种方法分析了脱机手写签名的纹理特征,并经比较后提出在签名灰度图像的基础上,利用CDTM(Cross-DiagonalTextureMatrix)方法得到签名的纹理矩阵。在此基础上,计算相关统计特征作为签名的纹理特征。然后建立了相应的鉴别系统,并对签名样本进行了鉴别,实验结果表明利用CDTM提取签名纹理特征的有效性。 In this paper, texture features of offline handwritten signatures are analyzed using several methods, and after comparison a novel method is proposed for texture features extraction of signatures with CDTM(Cross-Diagonal Texture Matrix) based on gray level signature image. Then relative statistics features are calculated as texture features of signatures. And a verification system is built to test unknown signature samples. Experiment result shows that texture features extracted with CDTM is effective.
关 键 词: 灰度共生矩阵 灰度梯度共生矩阵 十字对角纹理矩阵 签名鉴别
领 域: [自动化与计算机技术] [自动化与计算机技术]