Three Triangle Method for Face Recognition using Dlib and OpenCV
Earle Kit M. Sanchez, Noel B. Linsangan, Randy E. Angelia · 2020
This study shows how useful and feasible in facial recognition a triangular feature of the face using the left and right Lateral Canthus, Nasal Bridge, and Apex of the Nose. These features are sometimes overlooked by traditional facial recognition programs. This paper explores a different approach using a triangle method for facial recognition utilizing DLIB and OpenCV to create the machine learning model. It has been found that the approach can be viable only with a certain distance of the camera to the face. With a 92% accuracy of the machine learning model, the research has concluded that the approach is feasible but has a constraint on the setup.