Face emotion recognition using artificial intelligence techniques /

In this research, the problem is focused on the personalized face emotion and some studies are extended for better emotion recognition. FER is achieved in two parts, they are image processing part and classification part.

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Bibliografische gegevens
Hoofdauteur: Karthigayan Muthukaruppan (Auteur)
Coauteur: Universiti Malaysia Perlis
Formaat: Thesis Software Hoofdstuk
Taal:English
Gepubliceerd in: Kangar School of Mechatronic Engineering, Universiti Malaysia Perlis 2008.
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