Novel Approach in Image Processing to Recognize Facial Expressions
Samta Jain Goyala1, Arvind Kumar Upadhyaya2, Rakesh Singh Jadon3
1Samta Jain Goyal, CSE Department, Amity University, (Madhya Pradesh), India.
2Dr. A.K. Upadhyay, CSE Department, Amity University, (Madhya Pradesh), India.
3 Dr. R.S. Jadon, MCA Department, MITS, Gwalior, (Madhya Pradesh), India.
Manuscript received on 23 March 2019 | Revised Manuscript received on 30 March 2019 | Manuscript published on 30 March 2019 | PP: 1142-1143 | Volume-7 Issue-6, March 2019 | Retrieval Number: F2282037619/19©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: Human facial expressions recognition has become a main field of interest. Automatic recognition of human’s facial emotions is a thrust area of any Computer Vision (CV) or any Human Computer Interaction (HCI) system. Here, the first detect human face and then recognize human emotions based on feature extraction with high significance. In this work, the improved Fuzzy Reasoning system is designed to classify human emotions based on specified rules
Keywords: Facial Expression recognition, Template Matching, Human Computer Interaction, TLBO, SVM, Feature Extraction, Feature optimization, Feature Classification
Scope of the Article: Classification