Human character recognition application based on facial feature using face detection

Abstract

In the psychology, there are four fundamental personality types of human: sanguine, choleric, melancholic, and phlegmatic. One way to know the human fundamental personality is based on test, and one kind of test is Grapho test (handwriting test). In this study has been conducted detection of the human fundamental personality using combination of some face features: the eyes, lips, and nose (without test). Those features are obtained from facial image. Distance between two corners of the eyes, high of eyes, ratio of the mouth width and nose, the width ratio of two eyes, and thickness of lower lip have been used as feature extractions. By using artificial neural network (backpropagation) and based on such feature extractions, the fundamental personality is detected. Related to the experimental results, system can detect the human fundamental personality for the same input image data with training average 85.5%. The identification result for the different input image data with training is average 42.5%, this condition occurred caused by identification of personality for choleric and phlegmatic was less than 50%.