Edy, Winarno and Imam Husni, Al Amin and Wiwien, Hadikurniawati and Herny, Februariyanti Attendance System Based on Face Recognition System Using CNN-PCA Method and Realtime Camera. International Seminar on Research of Information Technology and Inteligent System.
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Abstract
One of the developments in computer vision is the research olDiuman face recognition. One of the implementations of the human face recognition system is used as an attendance system. The attendance system uses faces as objects to he detected and recognized as a person's identity and then stored as a face database. The process of matching face image data ca Lured by the camera with face images that have been storedt the face database will result in face identification of the object faces captured by the camera. The face recognition-based attendance system in this studs uses a hybrid feature extraction method using CNN-PCA (Convolutional Neural Network - Principal Component Analysis). This combination of methods is intended to produce a more accurate feature extraction method. The face recognition-based attendance system using this camera is very effective and efficient to further improve the accuracy of user data. This face recognition-based attendance system using this camera has very accurate data processing and high accuracy so that it can produce a system that is reliable and powerful to identify human faces in real-time.
| Item Type: | Article |
|---|---|
| Subjects: | T Technology > TR Photography |
| Faculty / Institution: | Fakultas Teknologi Informasi |
| Depositing User: | Fakultas Ekonomi |
| Date Deposited: | 07 Oct 2022 02:41 |
| Last Modified: | 07 Oct 2022 03:53 |
| URI: | https://eprints.unisbank.ac.id/id/eprint/8804 |
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