Theoretical Analysis of Viola-Jones Algorithm Based Image and Live-Feed Facial Recognition

Facial Recognition in this day becomes more necessary than ever, owing to the boom of digital media and automation, and the need for online security. This paper aims to analyse a system that can recognise faces in a real-time feed using the Viola-Jones algorithm, in Python. The Viola Jones algorithm enables the system to enjoy a high degree of precision and more importantly, can work for real-time feed, which can find several applications in real-life. This is mainly enabled by OpenCV. The algorithm works in two stages: training and detection. In crude terms, the algorithm presents us with an object-detection framework. This paper aims to analyse the proposed system of a live-feed facial recognizer.