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Erschienen in:
2006 | OriginalPaper | Buchkapitel
Multi-expression Face Recognition Using Neural Networks and Feature Approximation
verfasst von : Adnan Khashman, Akram A. Garad
Erschienen in: Foundations of Intelligent Systems
Verlag: Springer Berlin Heidelberg
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A human face is a complex object with features that can vary over time. Face recognition systems have been investigated while developing biometrics technologies. This paper presents a face recognition system that uses eyes, nose and mouth approximations for training a neural network to recognize faces in different expressions such as natural, smiley, sad and surprised. The developed system is implemented using our face database and the ORL face database. A comparison will be drawn between our method and two other face recognition methods; namely PCA and LDA. Experimental results suggest that our method performs well and provides a fast, efficient system for recognizing faces with different expressions.