ATTENDANCE SYSTEM BASED ON FACE RECOGNITION SYSTEM USING CNN-PCA METHOD AND REAL-TIME CAMERA_

Edy, Winarno and Imam Husni, Al Amin and Herny, Februariyanti and Prajanto, Wahyu Adi and Wiwien, Hadikurniawati and Muchamad Taufiq, Anwar ATTENDANCE SYSTEM BASED ON FACE RECOGNITION SYSTEM USING CNN-PCA METHOD AND REAL-TIME CAMERA_. 2019 International Seminar on Research of Information Technology and Intelligent Systems (ISRITI).

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Abstract

"One of the developments in computer vision is the research on human 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 be detected and recognized as a person's identity and then stored as a face database. The process of matching face image data captured by the camera with face images that have been stored in the face database will result in face identification of the object faces captured by the camera. The face recognition-based attendance system in this study 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:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software
Faculty / Institution:	Fakultas Teknologi Informasi > Program Studi Teknik Informatika
Depositing User:	Jati Sasongko Wibowo
Date Deposited:	09 Dec 2022 08:58
Last Modified:	09 Dec 2022 08:58
URI:	https://eprints.unisbank.ac.id/id/eprint/8991

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