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首页> 外文期刊>Journal of Theoretical and Applied Information Technology >REAL-TIME FACE RECOGNITION FOR ATTENDANCE MONITORING SYSTEM
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REAL-TIME FACE RECOGNITION FOR ATTENDANCE MONITORING SYSTEM

机译:考勤监控系统的实时人脸识别

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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.
机译:认证是全球基于计算机的控制系统中的一个重要问题。人脸识别已被广泛用作许多应用(例如门控制,视频监控系统,网络安全以及人机交互)中生物识别验证的重要分支。本文提出了一种自动考勤监控系统,该系统具有实时背景世界中的人脸识别功能,并使用个人成分分析(PCA)算法与学生信息数据库建立了联系。该任务非常困难,因为图像中的实时背景减法仍然是一个挑战。除此之外,管理具有多个学生信息的数据库对于该系统也是一个额外的挑战。提出的生物识别系统是一种基于人脸识别的实时考勤系统,算法简单,快速,最重要的是获得较高的准确率。

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