I Kadek Supadma

Work place: Departement of Information Technology, Udayana University, Bali, Indonesia

E-mail: kadeksupadma91@gmail.com


Research Interests:


I Kadek Supadma is currently an undergraduate student in Information Technology Departement from Udayana University, Indonesia

Author Articles
Real-Time Face Recognition with Eigenface Method

By Ni Kadek Ayu Wirdiani Tita Lattifia I Kadek Supadma Boy Jehezekiel Kemanang Mahar Dewa Ayu Nadia Taradhita Adi Fahmi

DOI: https://doi.org/10.5815/ijigsp.2019.11.01, Pub. Date: 8 Nov. 2019

Real-time face image recognition is a face recognition system that is done directly using a webcam camera from a computer. Face recognition system aims to implement a biometrics system as a real-time facial recognition system. This system is divided into two important processes, namely the training process and the identification process. The registration process is a process where a user registered their name in a system and then registers their face. Face data that has been registered will be used for the next process, namely the identification process. The face registration process uses face detection using the OpenCV library. The feature extraction process and introduction to the recognition system use the Eigenface method. The results of this study found that, the Eigenface method is able to detect faces accurately up to 4 people simultaneously. The greater the threshold value will result in a greater value of FRR, while there isn’t any FAR value found from different thresholds. The level of lighting, poses, and facial distance from the camera when training and testing the face image heavily influences the use of the eigenface method.

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