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Face recognition using support vector machines and generalized discriminant analysis

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4 Author(s)
Timotius, I.K. ; Dept. of Electron. Eng., Satya Wacana Christian Univ., Salatiga, Indonesia ; Linasari, T.C. ; Setyawan, I. ; Febrianto, A.A.

Face recognition by machines has various important applications in our daily life. However, the task to teach machine to recognize face images has been a very challenging task. This paper presents face recognition by combining Generalized Discriminant Analysis (GDA) as a feature extractor and Support Vector Machines (SVM) as a classifier. Our experiment showed that the performance of combining these two methods as a face image classifier is better than by only using SVM. The accuracy of combined method is above 85%.

Published in:

Telecommunication Systems, Services, and Applications (TSSA), 2011 6th International Conference on

Date of Conference:

20-21 Oct. 2011