The Attendance Marking System based on Eigenface Recognition using OpenCV and Python

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. T...

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Bibliographic Details
Published inJournal of physics. Conference series Vol. 1551; no. 1; pp. 12012 - 12024
Main Authors Puthea, Khem, Hartanto, Rudy, Hidayat, Risanuri
Format Journal Article
LanguageEnglish
Published Bristol IOP Publishing 01.05.2020
Subjects
Algorithms
Face recognition
Marking systems
Programming languages
Python
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Summary: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 deployed Haar cascade to find the positive and negative of the face and eigenface algorithm for face recognition by using python programming and OpenCV library. The proposed method using PCA to resolved the problems such as lightning of the images, noise from the camera, 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.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/1551/1/012012