摘要
随着课堂学生人数的增多,在大学课堂中记录学生出勤十分费时费力,因此针对高校课堂的点名问题设计一种高效的算法是必要的。文章首先根据大数据分析理论,对人脸数据进行采集,导入,预处理,统计分析,存放到数据库中;最后利用图像识别技术来使用matlab处理图像。通过人脸图像识别与匹配,找出最佳的匹配对象,最终确定身份,从而达到节省时间和提高效率的目的。
With the increase of the number of students in the classroom, it is very time-consuming and laborious to record the attendance of students in the university classroom, so it is necessary to design an efficient algorithm for the roll call problem in the university classroom. In this paper, according to big data analysis theory, face data acquisition, import, preprocessing, statistical analysis, stored in the database;finally, the use of image recognition technology to use Matlab to process images. Through face image recognition and matching, find out the best matching object, and finally determine the identity, so as to achieve the purpose of saving time and improving efficiency.
出处
《科技创新与应用》
2019年第15期24-26,共3页
Technology Innovation and Application
基金
吉林省大学生创新创业计划"人脸识别点名"(编号:2018104)
