Side-view face authentication using DWT and Random Forest with Subset

Face Recognition is one of the most relevant applications of image analysis. It's a main challenge to build an automated system which could recognize faces like human. Although humans are quite good enough in identifying known faces, with a large amount of different unknown faces. The computers, with having almost limitless and intelligence memory with high computational speed, should overcome the human's limitations in all areas. Face Recognition is an advance and important tool in order to overcome the problems of today's world. It is applicable to deal with several real-world applications like video surveillance,human-machine interaction,authentication, human/computer interface and video indexing.Face Recognition is a relevant subject in pattern recognition, computer graphics, image processing neural networks and psychology.

Autorentext

W 2012 r. uköczy studia licencjackie z elektroniki i technologii komunikacyjnych na Wydziale Technologii Uniwersytetu Shivaji, a w 2014 r. studia magisterskie z elektroniki i technologii telekomunikacyjnych na Uniwersytecie Technologicznym im. Dr Babasaheba Ambedkara w Lonere. Obecnie pracuje jako adiunkt w Karmaveer Bhaurao Patil College of Engineering w Satara.