基于AdaBoost算法的人脸识别佩戴眼镜问题研究  

Research on Wearing Glasses in Face Recognition Based on AdaBoost Algorithm

作　　者：杜骏霖 DU Junlin(School of Remote Sensing and Geomatics Engineering,Nanjing University of Information Science and Technology,Nanjing Jiangsu 210044)

机构地区：[1]南京信息工程大学遥感与测绘工程学院,江苏南京210044

出　　处：《河南科技》2021年第26期13-15,共3页Henan Science and Technology

摘　　要：人脸识别技术在日常生活中的应用愈加广泛。本文着重研究如何在人脸识别过程中判断被识别者是否戴眼镜的问题。首先采用基于AdaBoost算法的Haar强特征级联分类器,把图像从起点到各个点之间形成的矩阵中所有像素点的和作为一个元素存进一个新的矩阵中,后将人脸眼部图像单独切割出来,并将眼部图像的像素点所占总像素点的比例作为一个判断是否戴眼镜的条件,运用回溯算法确定一个最佳阈值,最后得到人脸识别正确率为91.43%。Face recognition technology is more and more widely used in daily life. This paper focuses on how to judge whether the recognized person wears glasses or not in the process of face recognition. Firstly,the Haar strong feature cascade classifier based on AdaBoost algorithm is used to store the sum of all pixels in the matrix formed from the starting point to each point of the image into a new matrix as an element. Then the face eye image is cut out separately,and the proportion of the pixels in the eye image to the total pixels is taken as a condition to judge whether to wear glasses or not. The backtracking algorithm is used to determine an optimal threshold. Finally,the correct rate of face recognition is 91.43%.

关 键 词：ADABOOST算法 HAAR特征 回溯算法 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]