Mind reading by face recognition using security enhancement model

Abstract

Face recognition has always been an area of interest for the researchers because it seems so fascinating in itself. As the time has passed, the evolution of human brain and social intelligence has enhanced the analysing power of a human brain for the displaying of face to infer the emotion accordingly. Face of a human being is considered to be the most common channel to read and infer the emotion in the case of mind reading. Theory of mind (ToM) is the inbuilt technique provided to every human being “as reported by Premack and Woodruff (Behav Brain Sci 1:515–523, 1991)”. According to ToM, a person has the ability to read someone else’ mind. Mind reading has a great amount of future advancement if worked upon with the different equipment and devices in the high-tech laboratories. The researchers have worked in this direction and have developed softwares. The aim of such software is to apply concept of security in face recognition but still there is a scope for improvement. This paper presents a comparative study between algorithms used for detecting the face as the key component in mind reading. Further, a model is proposed to enhance the security in face recognition. The proposed model also suggests interface that would help users to identify the people watching their pictures posted online.