Face Recognition for Group Classification Based on Kernel Principal Component Analysis and Support Vector Machines
| Main Authors: | Timotius, Ivanna K., Setyawan, Iwan, Febrianto, Andreas Ardian |
|---|---|
| Format: | Proceeding application/pdf |
| Bahasa: | eng |
| Terbitan: |
Department of Informatics, Faculty of Information Technology, Institut Teknologi Sepuluh Nopember Surabaya
, 2012
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| Subjects: | |
| Online Access: |
http://repository.uksw.edu/handle/123456789/232 |
Daftar Isi:
- The 6th International Conference on Information & Communication Technology and Systems (ICTS) 2010, Surabaya, September 28th, 2010
- Face Recognition system is a machine that is used to recognize people based on their face. In many practical applications, this face recognition system is used to determine whether somebody belongs to certain group or not. This paper presents a face recognition method for group classification by combining kernel principal component analysis (KPCA) and support vector machines (SVM). By using these methods, the classification accuracy of the system is 91.84%