Extraction of Expressions from Face Images using Neuro Fuzzy Approach
Senthil Ragavan Valayapalayam Kittusamy1, Venkatesh Chakrapani2

1Senthil Ragavan Valayapalayam Kittusamy, Associate Professor, Faculty of Computer Applications, EBET Group of Institutions, Kangayam (Tamil Nadu), India.
2Venkatesh Chakrapani, Professor & Dean, Faculty of Engineering, EBET Group of Institutions, Kangayam (Tamil Nadu), India.

Manuscript received on 18 November 2012 | Revised Manuscript received on 25 November 2012 | Manuscript published on 30 November 2012 | PP: 20-23 | Volume-1 Issue-5, November 2012 | Retrieval Number: E0352101512/2012©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Body language is a form of communication between human beings. Facial expressions are a form of nonverbal communication. Facial expressions can often communicate a person’s mood than a word. Here, the authors extract the facial features from facial points. Extracted feature points are tracked using a cross-correlation based optical flow to extract feature vectors. These vectors are used to categorize expressions, using RBF neural networks and Fuzzy Inference System. Recognition results from two classifiers are compared with each other.
Keywords: Facial Expression, FIS, Neuro Fuzzy, RBF

Scope of the Article: Fuzzy Logics