Please use this identifier to cite or link to this item:
https://repository.uksw.edu/handle/123456789/232| Title: | Face Recognition for Group Classification Based on Kernel Principal Component Analysis and Support Vector Machines |
| Authors: | Timotius, Ivanna K. Setyawan, Iwan Febrianto, Andreas Ardian |
| Keywords: | face recognition;group classification;kernel principal component analysis;support vector machines |
| Issue Date: | 28-Sep-2010 |
| Publisher: | Department of Informatics, Faculty of Information Technology, Institut Teknologi Sepuluh Nopember Surabaya |
| Abstract: | 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% |
| Description: | The 6th International Conference on Information & Communication Technology and Systems (ICTS) 2010, Surabaya, September 28th, 2010 |
| URI: | http://repository.uksw.edu/handle/123456789/232 |
| ISSN: | 2085-1944 |
| Appears in Collections: | Published Research Reports |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| PROS_Ivanna K Timotius-Iwan Setiawan-Andreas A Febrianto_Face Recognition For Group Classification_Abstrak.pdf | Abstract | 242.07 kB | Adobe PDF | View/Open |
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