基于hog图像特征的人脸识别系统设计与实现

Design and Implementation of Face Recognition System Based on hog Image Feature

人脸识别是一种典型的计算机图像视觉技术应用。本文以该技术为背景,给出一个基于hog特征算子来描述目标的人脸识别系统。该系统提取被检测图像的hog特征并使用Adaboost学习算法训练识别分类器,从而对目标特征进行分类判断。通过实验可以发现,使用hog特征结合分类器的方法对人脸进行识别可以获得较高的检测率,具有良好的应用价值。

Face recognition is a typical application of computer vision technology. This paper presents a face recognition system based on hog feature operator to describe the target. The system extracts the hog feature of the detected image and trains the recognition classifier using the Adaboost learning algorithm to classify and judge the target features. Through experiments, it can be found that the method of combining hog features with classifier can get a higher detection rate and has a good application value.