基于灰度共生矩阵的眉毛识别方法  

Eyebrows Recognition Based on Grey Co-occurrence Matrix

作　　者：李颜瑞[1] 杨毅[2] 

机构地区：[1]山西机电职业技术学院信息与管理工程系,山西长治046011 [2]中北大学电子与计算机科学技术学院,山西太原030051

出　　处：《太原师范学院学报（自然科学版）》2013年第4期83-86,共4页Journal of Taiyuan Normal University:Natural Science Edition

摘　　要：文章提出了一种基于灰度共生矩阵的眉毛识别方法.采用灰度共生矩阵提取眉毛特征,利用最近邻法则进行识别.通过实验结果表明,在一个109人的眉毛信息库上,该方法具有较高的识别率,最高识别率可达91.7%.An eyebrow recognition method, based on Grey Co-occurrence Matrix, will be presented in this paper. Eyebrow images are translated into feature extraction by Grey Co-occur-rence Matrix,which are applied to training nearest neighbor method for recognition. The experi-ment results show that in a eyebrow information database taken from 109 persons, the method can achieve a higher accuracy and the highest accuracy of 91.7%.

关 键 词：灰度共生矩阵 眉毛识别 最近邻法则 特征提取 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]