Attendance System Based on Face Recognition Using Hybrid Feature Extraction Method

DOI

10.2991/aer.k.211129.011How to use a DOI?

Keywords

face recognition system; attendance system application; hybrid feature extraction method; face recognition accuracy

Abstract

One of the implementation of a human face recognition system is an attendance system application. Attendance system is used to detect and recognize a person’s identity and stored as a face database. The face-based presence system developed in this study is a facial presence system using a hybrid feature extraction method. This method is a new method development that combines several feature extraction methods by weighting each method and produce a more accurate system. This face presence system was implemented using a client-server architecture that was integrated into a computer network. The server-client architectural model on this computer network was used for face presence machines that can be accessed intranet or via online using the internet. The face presence system using this camera is very safe and accurate for detecting users. This system has a more accurate and high accuracy data process. This system produced a reliable and robust system for identifying human faces. This face presence system produced presence data that can be accessed online, real-time and used in different places.

Copyright

© 2021 The Authors. Published by Atlantis Press International B.V.

Open Access

This is an open access article under the CC BY-NC license.

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TY  - CONF
AU  - Edy Winarno
AU  - Imam Husni Al Amin
AU  - Wiwien Hadikurniawati
AU  - Muchamad Taufiq Anwar
PY  - 2021
DA  - 2021/11/30
TI  - Attendance System Based on Face Recognition Using Hybrid Feature Extraction Method
BT  - Proceedings of the International Conference on Innovation in Science and Technology (ICIST 2020)
PB  - Atlantis Press
SP  - 47
EP  - 49
SN  - 2352-5401
UR  - https://doi.org/10.2991/aer.k.211129.011
DO  - 10.2991/aer.k.211129.011
ID  - Winarno2021
ER  -