Please use this identifier to cite or link to this item:
https://repository.uksw.edu//handle/123456789/2980| Title: | Face Recognition for Group Classification Based on Kernel Principal Componrnt Analysis and Support Vector Machines |
| Authors: | Timotius, Ivanna K. Setyawan, Iwan Febrianto, Andreas A. |
| Keywords: | face recognition;group classification;Kenel Principal Component Analysis;support vector machines |
| Issue Date: | 28-Sep-2010 |
| Publisher: | Department of Informations Faculty of Information Technology ITS Surabaya |
| Abstract: | Faee 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 classiication by combining kernel principal component analysis (KPC*A) and support vector machines (SVM). By using these methods, the classification accuracy of the system is 91.84%. |
| Description: | Proceeding of the 6th International Conference on Information & Communication Technology and Systems : VI 53-56 |
| URI: | http://repository.uksw.edu/handle/123456789/2980 |
| ISSN: | 2085-1944 |
| Appears in Collections: | Published Research Reports |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| PROS_Ivanna K.T., Iwan S., Andreas A.F._Face Recognition_Abstract.pdf | Abstract | 1.07 MB | Adobe PDF | View/Open |
| PROS_Ivanna K.T., Iwan S., Andreas A.F._Face Recognition_Full text.pdf | Full text | 414.31 kB | Adobe PDF | View/Open |
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