Open AccessINTEGRATION OF USER INTERFACE WITH FACIAL RECOGNITION SYSTEM
Author(s) -
Druva Manasa,
N.Ramya Sri,
Sk. Naveed,
N. Ramya
Publication year - 2020
Publication title -
epra international journal of research and development
Language(s) - English
Resource type - Journals
ISSN - 2455-7838
DOI - 10.36713/epra5588
Subject(s) - facial recognition system , python (programming language) , attendance , computer science , interface (matter) , face detection , face (sociological concept) , artificial intelligence , process (computing) , computer vision , pattern recognition (psychology) , human–computer interaction , machine learning , operating system , social science , bubble , maximum bubble pressure method , sociology , economics , economic growth
Attendance of students in a large classroom is hard to be handled by the traditional system, as it is time-consuming and has a high probability of error during the process of inputting data into the computer. This paper proposed automated attendance marking system using face recognition technique. The system will help to find the positive and negative of the face and Eigen face algorithm for face recognition by using python programming and OpenCV library. The proposed method using PCA to resolve the problems such as lightning of the images, and the direction of the student faces. The attendance of the student was updated to the Excel sheet after student's face has been recognized.KEYWORDS: PCA, Facial Recognition, ERP, Classroom, Attendance