HUMAN FACE, FACIAL ORGANS AND EXPRESSION DETECTION SYSTEM

Abstract

A human-computer interaction system for an automatic face recognition or facial expression recognition has attracted increasing attention from researchers in psychology, computer science, linguistics, neuroscience and related disciplines. In this report, we present four things: (a) Face Detection (b) Eye Detection (c) Lip detection (e) Emotion Detection. The first period of face detection involves skin color detection using YCbCr color model, flaming reparation for getting uniformity on face and morphological operations for retaining the required face part. The output of the first period is used for extracting facial features like eyes, nose and mouth using AAM (Active Appearance Model) method. The third phase, automatic facial expression recognition involves simple Euclidean distance method. In this method, the Euclidean distance between the feature points of the training images and that of the query image is compared. Based on minimum Euclidean distance output image expression is selected.