Face Recognition using Open Source Computer Vision Library (OpenCV) with Python
Gurpreet Singh, Ishika Gupta, Jaspreet Singh, Navneet Kaur
Abstract
Within a human's lifetime, faces are the visually embellished images that appear most frequently. Facial Recognition is the ability to recognize and discover someone primarily based totally on their facial features. Because the face is multidimensional, it necessitates several mathematical calculations. Thus, this work is aimed at developing an improved face recognition system that will serve in numerous application areas. Many approaches have already been developed, but they have low recognition capabilities and a high false alarm rate. As a result, there is a need for face recognition system that is more accurate and has a shorter recognition time. Due to rising security concerns and the quick development of mobile devices, face detection has recently been a hot research area. This paper focuses on the implementation of a face recognition system for human identification based on the open-source computer vision library (OpenCV) with python.At last the current application areas related to face recognition system is represented.