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Erschienen in:
2011 | OriginalPaper | Buchkapitel
Improving Face Recognition Based on Characteristic Points of Face Using Fuzzy Interface System
verfasst von : Mohammadreza Banan, Alireza Soleimany, Esmaeil Zeinali Kh, Akbar Talash
Erschienen in: Innovative Computing Technology
Verlag: Springer Berlin Heidelberg
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Three main cases that often are considered for identifying face figures are: happy, sad, and surprised. Face states are created by changes in different points. In this article, first eight characteristic points of face are considered and then five different features are extracted from them that these features form a feature vector for each of the face state. Then, we get a rules database based on these features and with fuzzy inference systems and considering the membership function, a method is presented for identifying happiness and sadness, and surprise states. Three important advantages Compared with other available methods are that it has less number of feature points and features and it has a higher accuracy than other methods.