International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 184 - Number 11 |
Year of Publication: 2022 |
Authors: Ajay Kumar, Shivansh Chaudhary, Sonik Sangal, Raj Dhama |
10.5120/ijca2022922085 |
Ajay Kumar, Shivansh Chaudhary, Sonik Sangal, Raj Dhama . Face Detection and Recognition using OpenCV. International Journal of Computer Applications. 184, 11 ( May 2022), 23-32. DOI=10.5120/ijca2022922085
OpenCV from Intel is a free and open-source image and video processing library. It is related to computer vision in terms of feature and object recognition, as well as machine learning. This paper introduces the main OpenCV modules, features, and Python-based OpenCV. The paper also discusses common OpenCV applications and classifiers that are used in these applications, such as image processing, face detection, face recognition, and object detection. Finally, we discuss some literary reviews of OpenCV applications in computer vision fields such as face detection and recognition, recognition of facial expressions such as sadness, anger, and happiness, and recognition of a person's gender and age.