文章基本信息

标题：REAL-TIME FACE RECOGNITION FOR ATTENDANCE MONITORING SYSTEM
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作者：S. SAYEED ; J. HOSSEN ; S.M.A. KALAIARASI 等
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2017
卷号：95
期号：1
出版社：Journal of Theoretical and Applied
摘要：Authentication is a momentous issue in controlling system in computer based globally. Human face recognition has been widely used to be an important branch of biometrics verifications in many applications such as door control, video monitoring system, networks security and also human computer interactions. This paper presented an automated attendance monitoring system with face recognition in a real-time background world for with a database of students information by using Personal Component Analysis (PCA) algorithm. This task is very difficult as the real-time background subtraction in an image is still a challenge. Addition to that, managing a database with multiple of student informations is also an extra challenge to this system. The proposed biometric system is a real time attendance system based on the human face recognition with simple and fast algorithms and most important is gaining a high accuracy rate.
关键词：Automatic Attendance; Face Recognition; Authentication; Biometric; Principal Component Analysis (PCA).