FACIAL EXPRESSION RECOGNITION USING FUZZY LOGIC
Jinkal Patel
, Tejas Kadiya
Key words: Facial Emotion Recognition, Fuzzy Logic, fuzzy c-means, images segmentation, feature space, Image processing.
Recognition of facial emotions has important role in HCI. Recognition of Human's Facial Expression has been very active research area of computer vision. It has the important role in the human-computer interaction (HCI) systems. This paper presents a method for Facial Expression Recognition using Fuzzy Art. Fuzzy c-means clustering method in image segmentation. Segmentation method is based on a basic region growing method and uses membership grades’ of pixels to classify pixels into appropriate segments. Images were in RGB color space, as feature space was used L*u*v* color space. Experimental results show that the detection accuracies of emotions for adult male, adult female, and children of 8–12 years are as high as 88%, 92%, and 96%, respectively, outperforming the percentage accuracies of the method .
"FACIAL EXPRESSION RECOGNITION USING FUZZY LOGIC", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.2, Issue 5, page no.321 - 324, May-2017, Available :https://ijsdr.org/papers/IJSDR1705055.pdf
Volume 2
Issue 5,
May-2017
Pages : 321 - 324
Paper Reg. ID: IJSDR_170402
Published Paper Id: IJSDR1705055
Downloads: 000347027
Research Area: Engineering
Country: BALASINOR, GUJARAT, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave