Face recognition using support vector machines and generalized discriminant analysis
Timotius I, Linasari TC, Setyawan I, Febrianto AA (2011)
Publication Language: English
Publication Type: Conference contribution, Original article
Publication year: 2011
Publisher: IEEE
Pages Range: 8 - 10
Conference Proceedings Title: 2011 6th International Conference on Telecommunication Systems, Services, and Applications (TSSA)
Event location: Bali
ISBN: 978-1-4577-1441-2
URI: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6095397
DOI: 10.1109/TSSA.2011.6095397
Abstract
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%.
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How to cite
APA:
Timotius, I., Linasari, T.C., Setyawan, I., & Febrianto, A.A. (2011). Face recognition using support vector machines and generalized discriminant analysis. In 2011 6th International Conference on Telecommunication Systems, Services, and Applications (TSSA) (pp. 8 - 10). Bali, ID: IEEE.
MLA:
Timotius, Ivanna, et al. "Face recognition using support vector machines and generalized discriminant analysis." Proceedings of the 2011 6th International Conference on Telecommunication Systems, Services, and Applications (TSSA), Bali IEEE, 2011. 8 - 10.
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