Extraction of panic expression from human face based on histogram approach

Abstract

Panic expression is one of the most important features of facial recognition in the present era, and it has become a burning issue. It is very difficult to segregate a people whether he or she is in the normal position or barring unexpected circumstances that has occurred abruptly. Over the past 50 years, different researchers have developed human-observer based methods that can be used to classify and correlate facial expressions with human sensation. In this paper we proposed a novel methodology based on histogram classification for extraction of panic moment of a human being. Firstly, we have considered face-mask to collect the maximum information from human face. Then we have set the three coordinate positions for storing the data as a panic-info-mask. Finally, the geometrical value of panic-info-mask represents the data of panic moment. © 2012 Springer-Verlag.