- All Journals
- Al-Qadisiyah University
- Basrah University
- Kirkuk University
- Mosul University
- The Iraqi Borad for Medical Specialization
- University of Anbar
- University of Technology
- Al Mustafa University
- Al-Zahraa University for Women
- Alnoor University
- Kunooz University
- Misan University
- Ninevah University
- Tikrit University
- University of Al-Hamdaniya
- University of Kerbala
Improvement of Face Recognition System Based on Linear Discrimination Analysis and Support Vector Machine | ||
| Engineering and Technology Journal | ||
| Article 5, Volume 31, Issue 12, 2013, Pages 2261-2272 PDF (664.21 K) | ||
| DOI: 10.30684/etj.31.12A.5 | ||
| Authors | ||
| Thair A. Salh; Mustafa Zuhaer Nayef | ||
| Abstract | ||
| Face recognition is one of the most important research fields in many of applications and it is used in various domains including human computer interaction, security systems and personal identification. Many of face recognition systems have been developed for decades. In general, the accuracy of the face recognition system is determined by the accuracy of the method that is used to extract features and the accurate of the classification method. This paper introduces an improvement of face recognition system by using Linear Discrimination Analysis and Support Vector Machine. Two types of experiments off-line and on-line are done. In off-line experiment, the Olivetti Research Laboratory face database is used and in on-line experiment, DVD Maker 2 adapter is used to capture live image from digital camera, and digitalize it to be compared with training database. The Comparison with Linear Discriminate Analysis and Artificial Neural Network is implemented .The results show that the proposed method gives better results in off-line experiment than previous methods in terms of recognition rate. | ||
| Keywords | ||
| face recognition; Linear Discriminate Analysis; Support vector machine | ||
|
Statistics Article View: 228 PDF Download: 148 |
||