基于OPENCV的人脸考勤系统

›› 2016, Vol. 29 ›› Issue (9): 98-.

基于OPENCV的人脸考勤系统

史启文，董爱华

（东华大学信息科学与技术学院，上海 200051）

出版日期:2016-09-15 发布日期:2016-09-26
作者简介:史启文（1990-），男，硕士研究生。研究方向：工业控制。

Face Recognition Attendance System Based on OPENCV Platform

SHI Qiwen, DONG Aihua

(College of Information Science and Technology, Donghua University, Shanghai 200051, China)

Online:2016-09-15 Published:2016-09-26

摘要/Abstract

摘要：

设计实现了一种基于几何特征的人脸识别考勤系统。通过图像的灰度积分投影来确定各器官的大体位置。通过提取人脸的左眼、右眼、鼻子和嘴巴的位置及其之间的相对距离关系等7个特征值，并赋予不同的权重来合成矢量人脸，进而与数据库进行对比实现人脸考勤。

关键词: TP391.41

Abstract:

This paper designs a simple face-recognizing attendance system based on geometric feature. This paper expounds the image gray-level integration projection to determine the general location of facial organs. This system extracts the position of human's left eye, right eye, nose, mouth, the relative distances between them and other seven Eigen-values, and gives different weights to synthesize vector face. The face matching is realized by comparing the synthesized vector face with the database.

Key words: feature extraction, geometric feature, face recognition

中图分类号:

特征提取

史启文，董爱华. 基于OPENCV的人脸考勤系统[J]. , 2016, 29(9): 98-.

SHI Qiwen, DONG Aihua. Face Recognition Attendance System Based on OPENCV Platform[J]. , 2016, 29(9): 98-.