Edy, Winarno and Wiwien, Hadikurniawati and Imam Husni, Al Amin and Muchamad Taufiq, Anwar Attendance System Based on Face Recognition Using Hybrid Feature Extraction Method. ICIST 2020.
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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.
| Item Type: | Article |
|---|---|
| Subjects: | T Technology > T Technology (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Faculty / Institution: | Fakultas Teknologi Informasi |
| Depositing User: | Fakultas Ekonomi |
| Date Deposited: | 07 Oct 2022 02:46 |
| Last Modified: | 07 Oct 2022 03:51 |
| URI: | https://eprints.unisbank.ac.id/id/eprint/8805 |
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