Viola-Jones Algorithm for Face Detection using Wider Face Dataset
Sumanto Sumanto, Bambang Wijonarko, Muhammad Qommarudin, Aji Sudibyo, Pudji Widodo, Afit Muhammad Lukman · 2022 10th International Conference on Cyber and IT Service Management (CITSM) · 2022
Face detection has been one of the most explored problems in computer vision for several years. Using the WIDER FACES data set, this study investigates how the Viola-Jones method can be used to identify faces in 179 photos and how it performs compared to other face detection algorithms. In a previous study for face detection using Viola-jones, the highest accuracy results were obtained at 90.9% for facial images and 75.5% for non-face images. In this study, the Viola-Jones approach had a 100 percent success rate. This approach will be used in the MATLAB algorithm for face identification to get better results than currently available. Experiments using two classes had promising results.