A Neural Network based Facial Expression Recognition using Fisherface

Zaenal Abidin, FMIPA Ilkom and Agus Harjoko, - (2012) A Neural Network based Facial Expression Recognition using Fisherface. International Journal of Computer Applications, 59 (3). ISSN 0975 – 8887

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Abstract

Facial expression plays significant role for human beings to communicate their emotions. Automatic facial expression analysis is a flourishing area of research in computer science, and it is also still a challenge. This paper discusses the application of a natural network based facial expression recognition using fisherface. Back propagation neural network is used as a classifier for classifying the expressions. For face portion segmentation and localization, integral projection method is used. The accuracy of system performance have evaluated on a public database “Japanese Female Facial Expression (JAFFE)”. The experimental results show the effectiveness of our scheme. The best average recognition rate achieves 89.20%.

Item Type:	Article
Uncontrolled Keywords:	Facial Expression, Fisherface, Neural Network, JAFFE.
Subjects:	T Technology > Information and Computer
Fakultas:	Fakultas Matematika dan Ilmu Pengetahuan Alam > Ilmu Komputer, S1
Depositing User:	mahargjo hapsoro adi
Date Deposited:	19 Jul 2022 04:28
Last Modified:	19 Jul 2022 04:28
URI:	http://lib.unnes.ac.id/id/eprint/50432

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