数码设计Issue(4)：99-101,3.
基于Haar特征的供电服务共享营业厅终端人脸识别方法
Face Recognition Method for Power Supply Service Shared Business Office Terminal Based on Haar Features
许丽 1汪茌茌 1彭友华 1孙俊云 1高兆1
作者信息
- 1. 国网安徽省电力有限公司池州供电公司,安徽池州 247000
- 折叠
摘要
Abstract
As the pattern features contained in the face image are very rich,which leads to the poor accuracy of the traditional face recognition method based on image features,a face recognition method based on Haar features for the terminal of power supply service shared business hall is proposed.Acquire and preprocess the face images of the terminal of power supply service shared business hall,extract the Haar features of the face images,construct the corresponding feature template according to the extracted features,train the feature template and classify the face images using SVM,and realize the face recognition of the terminal of power supply service shared business hall.The experimental results show that the recognition rate of the designed method for recognizing face images from Eastern and Western countries is 94.05%,so the method is feasible and reliable.关键词
Haar特征/供电服务共享营业厅终端/人脸识别/图像识别Key words
Haar features/power supply service shared business hall terminal/face recognition/image recognition分类
信息技术与安全科学引用本文复制引用
许丽,汪茌茌,彭友华,孙俊云,高兆..基于Haar特征的供电服务共享营业厅终端人脸识别方法[J].数码设计,2024,(4):99-101,3.
