%0 Conference Proceedings
%T FE8R - A Universal Method for Face Expression Recognition
%+ Université de Damas = Damascus University
%+ Białystok University of Technology
%+ University of Bialystok
%+ University of Aleppo = Université d'Alep 
%A Albakoor, Majida
%A Saeed, Khalid
%A Rybnik, Mariusz
%A Dabash, Mohamad
%Z Part 9: Biometrics, Identification, Security
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 15th IFIP International Conference on Computer Information Systems and Industrial Management (CISIM)
%C Vilnius, Lithuania
%Y Khalid Saeed
%Y Władysław Homenda
%I Springer International Publishing
%3 Computer Information Systems and Industrial Management
%V LNCS-9842
%P 633-646
%8 2016-09-14
%D 2016
%R 10.1007/978-3-319-45378-1_55
%K Face expression
%K Feature extraction
%K Feature encoding
%K Slant tracking
%K Artificial Neural Networks
%Z Computer Science [cs]
%Z Humanities and Social Sciences/Library and information sciencesConference papers
%X This paper proposes a new method for recognition of face expressions, called FE8R. We studied 6 standard expressions: anger, disgust, fear, happiness, sadness, surprise, and additional two: cry and natural. For experimental evaluation samples from MUG Facial Expression Database and color FERET Database were taken, with addition of cry expression. The proposed method is based on the extraction of characteristic objects from images by gradient transformation depending on the coordinates of the minimum and maximum points in each object on the face area. The gradient is ranked in $$[-15,+35]$$ degrees. Essential objects are studied in two ways: the first way incorporates slant tracking, the second is based on feature encoding using BPCC algorithm with classification by Backpropagation Artificial Neural Networks. The achieved classification rates have reached 95 %. The second method is proved to be fast and producing satisfactory results, as compared to other approaches.
%G English
%Z TC 8
%2 https://inria.hal.science/hal-01637498/document
%2 https://inria.hal.science/hal-01637498/file/419526_1_En_55_Chapter.pdf
%L hal-01637498
%U https://inria.hal.science/hal-01637498
%~ SHS
%~ CONFREMO
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-TC8
%~ IFIP-CISIM
%~ IFIP-LNCS-9842