=Paper=
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==None==
<pdf width="1500px">https://ceur-ws.org/Vol-1849/paper10.pdf</pdf>
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                                            Journées portes ouvertes sur la Faculté des Sciences Exactes JFSE 2017



                    Facial Expressions Recognition
                               Yacine Mehdaoui, Ameur Abassi, Youssef Elmir
                                      dept. Mathematics and Computer Science
                                       University Tahri Moahmmed of Bechar
                                                   Bechar, Algeria
                                              elmir.youssef@yahoo.fr

Abstract—The objective of this work is creating a system for facial expressions recognition. This system is sensitive to
large variations in lighting and directions to different genders and ages, using artificial intelligent algorithms such as
(training, classification) and computer vision tools to implement our work like the OpenCV library, this last, proved
that it is one of the best tools to simulate the human actions. So basically, in this work we used the HAAR cascade
classifier to achieve the first step which is the face detection, where we built negative and positive datasets and
specified the number of stages to train theme (the higher number you get the best results you will have) by the end of
this we should have a system which can detect the human face in different situations. In the second step, which is the
feature extraction by projecting the faces from the " Cohn-Kanade AU-Coded Facial Expression Database " using
fisherface approach which’s a method based on the Principal Component Analyze PCA and the Linear Discriminate
Analyze LDA to extract the main features alongside a special value represent each of the expressions in a specific
position in the vector extracted. Then applying the whole system on a live stream camera and extract the victor from
the input face, finally loading a similar vector from the trained expressions database to put up the final expression.

   Keywords—Human-Computer Interaction; Pattern Recognition;OpenCV.




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