Analysis of Human Intelligence in Identifying Persons Native through the Features of Facial Image

Abstract

Image object classification and detection are two important basic problems in the study of computer vision. Image classification is always a challenging task for computer scientist. Classification is a well-known supervised learning technique. This is always used to extract meaningful and vital information from a large dataset. It can also be effectively used for predicting unknown classes. At present image classification accuracy is not high enough because of large number of redundant information as well as features. Primary focus should be on how human intelligence works on image classification rather than training the machine for the image classification. In this research paper a theoretical and numerical analysis of human intelligence is outlined as how human intelligence works on an image through which features and in what way other they are deciding the category of image they have perceived.