Image Classification for Underage Detection in Restricted Public Zone

Abstract

Image classification technique analyzes images and its features to unmask the underlined facts. The estimation of age via faces is an area of prime research relevance that deals with several challenges because of its rapid emergent flow in real world applications. In this paper a classifier is built which scans the upper body image i.e. facial images of a person to classify a image to detect the age group namely child, adult and old. The sole purpose of the research is to detect the underage people for enhancing the security system. Taking into account the geometrical features along with wrinkle features, underage is detected using three techniques namely KNN (k-nearest neighbor), ANN (Artificial Neural Network), and SVM (Support Vector Machine) classification algorithm.