Analysis of Face Detection and Recognition Algorithms Using Viola Jones Algorithm with PCA and LDA
Udit Jain, Kshrevansh Choudhary, Shubham Babu Gupta, M. Jasmine Pemeena Privadarsini · 2018 2nd International Conference on Trends in Electronics and Informatics (ICOEI) · 2018
These days' people are most concerned about their privacy. As we know that many big companies are failing to provide their customers the privacy and security, they have right upon. Many such big security breaches have taken place in recent times even in Banks which are trusted blindly by the people. So to solve the security problem in the world, Face recognition technique has shown high standards in keeping things safe and secured. In the paper, we are utilizing Viola Jones strategy to identify the face, it consists of four stages namely Haar features, Integral Image, Adaboost and Cascading which help in detecting an object out of the whole image. We are contrasting two prominent face recognition methods in particular Principle Component Analysis (PCA) and Linear Discriminant Analysis (LDA) used to perceive the approved individual's face out of a Database [1]. We are analyzing both the algorithms by running tests on different Databases by varying the test images just to get more clarity on the efficiency and the behaviors of both the algorithms in different lighting conditions, contrasts and brightness of images.