Emotion Recognition System Using Local Binary Pattern
Rajat Kumar1, Gursahaj Singh2, Kapil Joshi3
1Rajat Kumar, Student, Department of Computer Science & Engineering, Uttaranchal Institute of Technology, Dehradun (Uttarakhand), India
2Gursahaj Singh, Student, Department of Computer Science & Engineering, Uttaranchal Institute of Technology, Dehradun (Uttarakhand), India
3Kapil Joshi, Assistant Professor, Department of Computer Science & Engineering, Uttaranchal Institute of Technology, Dehradun (Uttarakhand), India
Manuscript received on March 01, 2019. | Revised Manuscript Received on March 20, 2019. | Manuscript published on March 20, 2019. | PP: 11-14 | Volume-5 Issue-3, March 2019. | Retrieval Number: B0867125218/19©BEIESP
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© The Authors. Published By: 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: The Facial Emotion Recognition system is an method of recognizing the emotions of a person. In this method image that is being captured is compared with dataset that are available in the database and then after that the emotion of the image is being recognized, and the emotion that are recognized are displayed with the help of machine on the screen of the computer. This system is based on image processing and machine learning. For designing a robust facial feature descriptor, we apply the Local Binary Pattern. Local Binary Pattern is a simple and effective operator which can labels the pixels of an picture by comparing the neighborhood of every pixel and store the result as an binary number. The histogram will be formed by using the operator label of LBP. The objective of this paper is to introduce the use and applications of facial emotions and expressions. In day to day conversation facial emotions play important role, It is a non-verbal form of communication. There has been many big researches enhance the detection of human emotions using computers and machines. In this paper, we include introduction of emotion recognition system, phases of emotion recognition system and implement the whole part of it.
Keywords: Facial Expression, Local Binary Pattern, Facial Emotion Recognition