An Efficient Automated Attendance Management System Based on Eigen Face Recognition

被引:0
|
作者
Rekha, E. [1 ]
Ramaprasad, P. [2 ]
机构
[1] Amity Univ, Dept Elect Engn, Dubai, U Arab Emirates
[2] Manipal Univ, Dept Elect Engn, Sch Engn & Technol, Dubai, U Arab Emirates
关键词
Facial Recognition System; Automated Students Attendance System; Eigen Face Database; Principal Component Analysis(PCA); Matlab GUI;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A Face recognition system is an application of computer vision and image processing which is capable of performing two major tasks of identifying and verifying a person from an image or a video database. The objective of this paper is to automate the attendance system by integrating the face recognition technology using Eigen Face database and PCA algorithm with Matlab GUI. In Conventional attendance system there are several issues like fake attendance, lot of time consumption, manipulation of attendance, information cannot be secure. There are many limitations in implementing face recognition technologies like Image Quality, Image Size, Face angle, varying intensity of light. In order to overcome these issues various techniques like Illumination Invariant, Histogram equalization, PCA are used. By using this system attendance is updated automatically after comparing the detected face with original Eigen database in Excel sheet integrated with Matlab GUI.
引用
收藏
页码:605 / 608
页数:4
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