FACIAL EXPRESSION IDENTIFICATION BY USING FEATURES OF SALIENT FACIAL LANDMARKS

Abhilasha Shukla, D. D. Dighe

Abstract: Facial expression recognition/identification (FER) systems plays vital role in the field of biometrics. Localizing the facial components accurately is a challenging task in image analysis and computer vision. Accurate detection of face and facial components gives effective performance with classification of expressions. This paper proposes feature based facial recognition system using JAFFE and CK databases. 18 facial landmarks were located using Haar cascade classifier. The distances between 12 points were extracted as features. These features were classified using SVM and K-NN classifier and comparison based on accuracy and execution time is done. The proposed algorithm gives better performance.

Keywords: Facial expression recognition (FER) system, Face detection, Feature extraction, Expression classification

DOI: https://doi.org/10.15623/ijret.2016.0508053