Efficient Facial Recognition System using Lbp Technique
P. Ajay Kumar Reddy1, G.N Kodanda Ramaiah2, M.N Giri Prasad3
1P. Ajay Kumar Reddy, Research Scholar, Department of Engineering and Communication Engineering, JNTU Ananthapuramu/ KEC Kuppam.
2G.N Kodanda Ramaiah, Professor, Department of Engineering and Communication Engineering, Kuppam Engineering College, Kuppam.
3M.N Giri Prasad, Professor, Department of Engineering and Communication Engineering, JNTU Ananthapuramu.
Manuscript received on 01 April 2019 | Revised Manuscript received on 08 May 2019 | Manuscript published on 30 May 2019 | PP: 26 | Volume-8 Issue-1, May 2019 | Retrieval Number: A1289058119/19©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: Facial Recognition system is a popular technique used in identifying the human features. It has numerous applications like surveillance, Smart cards, Law enforcement, security etc. because of these applications, the study of facial recognition system has become research interest for many of the researchers. The Local Binary Pattern (LBP) Method has been extensively employed for the facial recognition system. In this paper, we have evaluated the LBP method for facial expression recognition by using the JAFFE database. The facial recognition rate Is used as the performance metric. The emotions which are taken into consideration for evaluation are Happy, Anger, Fear, sadness and a neutral image.
Keywords: Facial Recognition System, LBP, JAFFE, Emotion Recognition.
Scope of the Article: Pattern Recognition