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

Author:

Puthea Khem,Hartanto Rudy,Hidayat Risanuri

Abstract

Abstract 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.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

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1. Attendance Management with Facial Recognition using OpenCV;2024 5th International Conference for Emerging Technology (INCET);2024-05-24

2. Speech-enabled machine learning-based automated attendance monitoring system through face recognition;2023 IEEE International Conference on Contemporary Computing and Communications (InC4);2023-04-21

3. Face Recognition Based Attendance System Using OpenCV Python;Advances in Intelligent Systems and Technologies;2022-12-06

4. A Class Attendance System Based on Cloud Face Recognition for Multi-users;2021 7th International Conference on Computer and Communications (ICCC);2021-12-10

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