基于PCA和LBP的考勤算法设计

学生课堂出勤情况统计与管理是高校学生工作中的一个重要部分,也是最难取得快速进展的工作之一。学生的课堂考勤工作不仅关系到学校对学生学习情况的判定,也关系到学生的个人心理健康与人身安全。庞大的学生数量给学生的课堂考勤工作带来了巨大困难。课堂上学生考勤与企业考勤相比,具有其特殊性。采用点名的考勤方式会占用大量课堂时间,采用IC卡考勤的方式会滋生替课现象。设计了一种结合PCA与局部二值模式的学生面部识别考勤算法,可以有效地解决学生课堂考勤难题,大大提高学生管理工作效率。

Design of Attendance Algorithm Based on PCA with LBP

It is an important part in the college student's work to statistics and manage the students'attendance in class,and it is also one of the most difficult parts to make great progress. Checking on students'work attendance not only relates to assessment on students'learning condition. but also relates to the students'psychological health and the personal safety. The large amount of the students brings lot of trouble to the school. Compared with the enterprise checking on attendance,the work of student management is particular,it costs more time to use the traditional way to check the student one by one,and it will induce the phenomenon of answering instead if we use the IC card to check on work attendance. This paper designs a new algorithm which combines PCA with the design of check on student at-tendance based on Local Binary Pattern Classifier of facial expression,it can solve the problem of the students'atten-dance and improve the work efficiency of student management.