- 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
The Limitation of Pre-processing Techniques to Enhance the Face Recognition System Based on LBP | ||
| Iraqi Journal of Science | ||
| Article 1, Volume 58, Issue 1, 2018, Pages 355-363 | ||
| Authors | ||
| Raafat Salih Muhammad; Mohammed Issam Younis | ||
| Abstract | ||
| Most systems are intelligent and the industrial world is moving now towards technology. Most industrial systems are now computerized and offer a high speed. However, Face recognition is a biometric system that can identify people from their faces. For few number of people to be identified, it can be considered as a fast system. When the number of people grew to be bigger, the system cannot be adopted in a real-time application because its speed will degrade along with its accuracy. However, the accuracy can be enhanced using pre-processing techniques but the time delay is still a challenge. A series of experiments had been done on AT&T-ORL database images using Enhanced Face Recognition System (EFRS) that is adopting a Local Binary Pattern Histogram (LBPH) as feature extraction method. During these experiments, LBP parameters and pre-processing techniques have been changing and the results were recorded for accuracy and time for different database sizes. The accuracy reaches 98.5% but the time delay keep increasing with the number of people in the database. | ||
| Keywords | ||
| Face Recognition; LBP; Recognition accuracy; Recognition time; weakness | ||
|
Statistics Article View: 145 PDF Download: 75 |
||