Face recognition using support vector machines and generalized discriminant analysis

Beitrag bei einer Tagung
(Originalarbeit)


Details zur Publikation

Autor(en): Timotius I, Linasari TC, Setyawan I, Febrianto AA
Verlag: IEEE
Jahr der Veröffentlichung: 2011
Tagungsband: 2011 6th International Conference on Telecommunication Systems, Services, and Applications (TSSA)
Seitenbereich: 8 - 10
ISBN: 978-1-4577-1441-2
Sprache: Englisch


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%.



FAU-Autoren / FAU-Herausgeber

Timotius, Ivanna
Lehrstuhl für Informatik 5 (Mustererkennung)


Zitierweisen

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.

BibTeX: 

Zuletzt aktualisiert 2018-20-10 um 04:20