期刊名称：International Journal of Computer and Information Technology
印刷版ISSN：2279-0764
出版年度：2014
卷号：3
期号：5
页码：942
出版社：International Journal of Computer and Information Technology
摘要：This paper presents a real time human face recognition based automated system for monitoring the work schedule and attendance of the employees in offices. Keeping track of the attendance records of the employees and monitoring their working hours is a time consuming task for the management of any company. Though the existing facial and card based attendance systems keeps the record of the attendance, measuring the actual time an employee works in office is still a challenge. This experimental system comes up with a solution to mark the attendance along with monitoring the time an employee spends in his/her workstation for work through real time face recognition. Haar cascade classifier is used for human face detection followed by implementation of Principal Component Analysis algorithm for recognition of the faces measuring the Euclidean distance of the eigenvalues. The system allows the company administrator to monitor the report of the employee working hours through a website or any android smart-phone providing those companies the scope of increasing management efficiency.
关键词：office management solution; real time face ; recognition; principal component analysis; haar cascade classifier
