Wireless Communication Security

11Machine Learning Techniques for Face Authentication System for Security Purposes

Vibhuti Jain, Madhavendra Singh* and Jagannath Jayanti

Guru Gobind Singh Indraprastha University, New Delhi, India

Abstract

The modern world is rapidly revolutionizing the way things work. Everyday actions are being handled electronically. Based on this, a sub-division of application in recognition, specifically face recognition, emerged. Face recognition is a technology capable of verifying the identity of an individual using their face from a digital frame against a database. It has been one of the most captivating and prime research fields in the past few decades. The motivation came from the need of automated recognition and verification. Compared with traditional biometric systems, i.e., fingerprint recognition and iris recognition, face recognition has numerous advantages, not just limited to “no-contact” and “user friendly”. Face recognition is currently being used to make the world smarter and safer. It has future scope to be used in finding missing people, e-commerce, education and many fields. Artificial Intelligence is one of the upcoming and important areas in the field of research and development. It solves various image-related tasks using different algorithms. A number of papers have been published on this subject giving an idea of how accurately and efficiently these techniques identify people. This chapter explores general machine learning algorithms and neural network architectures ...