人脸识别考勤系统的设计与实现

Focused on substitute attendance, low attendance efficiency issues existing in the current attendance system, a face recognition attendance system named FARS (Face Recognition Attendance System) was designed and implemented, and an application architecture of face detection and recognition named 3AFDR(An Application Architecture of Face Detection and Recognition) was put forward. Based on the AdaBoost algorithm and PCA(Principal Component Analysis) algorithm, the unique attendance object was determined with FRAS to ensure the attendance operation non-substitutable, the attendance records were uniformly managed with the attendance rules to improve the efficiency. Moreover, the attendance photos were normalized and stored in the sample library as a sample ,and then trained regularly, realizing the intelligent management of samples and reducing the effects of environmental factors on detection results.