International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Science , Computer Science and Engineering

Volume5,March 2018,

Topic : Facial Emotion Detection Based on the Features of Mouth Regions

Authors:G.Kalaivani || Dr.K.Krishnaveni

Abstract:Emotion is a mental state which involves the lot of behaviors, actions, thoughts, and feelings. Emotion recognition is the process of identifying the human emotion, most typically from facial expressions. Different types of facial expressions are Joy, Sadness, Fear, Disgust, Surprise, and Anger. The eyes and mouth (lip) movements will generally exhibit the emotions. The main aim of this research work is to propose a technique to detect the facial emotion from the features of the mouth region. The facial images with different emotions are captured, preprocessed and mouth regions are detected by Viola-Jones algorithm and extracted by means of Bounding Box method. Then Edge detection, region filling, and morphological algorithms are proposed to extract the lips and filled mouth region for which the area of the region is calculated with the help of the number of extracted mouth region pixels. Then Data mining Decision Tree Classifier is applied to classify the emotions based on the area values. The input images of various expressions are taken, results are analyzed and their performances are evaluated.

Keywords: Emotion recognition, Viola-Jones, Edge Based Segmentation, Morphological area Extraction, Feature Extraction

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DOI: 01.1617/vol5/iss3/pid61052


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Editor-in-Chief

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Dr. Allon Guez
Professor, Drexel University,
USA


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IMPACT FACTOR: 4.890

ISSN(Online):2394-2320

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Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799

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ACCEPTANCE RATIO: 28.69%
ARTICLES PUBLISHED:0521
PAPER RECEIVED:01730
Journal Code : IJERCSE
Electronic ISSN : 2394-2320
Impact Factor : 4.890
Frequency : monthly
Contact : info@ijercse.com


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