Title :
Facial expression recognition using facial characteristic points and Gini index
Author :
Perveen, Nazil ; Gupta, Shubhrata ; Verma, Kesari
Author_Institution :
Dept. of Electr. Eng., Nat. Inst. of Technol., Raipur, India
Abstract :
In this paper, Facial Expression Recognition (FER) system, aid in modeling facial expression space for facial expression recognition by facial characteristic points and Gini index. Facial expression information are mostly concentrated on facial expression information regions, so the, eyes, eyebrows, and mouth are extracted from the input image. When a face image is input the feature extraction is performed which help in detecting facial characteristic points. Facial animation parameters are calculated in order to recognize one of the six basic facial expressions. The proposed technique is applied to JAFFE database consisting 30 images, each having six basic facial expression images (neutral, happy, surprise, fear, sad and angry). For certain expressions like, surprise, fear and happy it gives the promising results with best recognition rate, however for expressions like, neutral, sad and angry the recognition rate is lower. The proposed technique is implemented in MATLAB version 7.8.0.347 (R2009a).
Keywords :
computer animation; face recognition; feature extraction; Gini index; JAFFE database; MATLAB version 7.8.0.347; facial animation parameters; facial characteristic points; facial expression recognition; feature extraction; Eyebrows; Face; Face recognition; Facial animation; Feature extraction; Indexes; Mouth; Gini index; facial animation parameters; facial expression recognition; feature extraction; rule extraction; template matching;
Conference_Titel :
Engineering and Systems (SCES), 2012 Students Conference on
Conference_Location :
Allahabad, Uttar Pradesh
Print_ISBN :
978-1-4673-0456-6
DOI :
10.1109/SCES.2012.6199086