- 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
Face Image Recognition Using 2D PCA Algorithm | ||
| Engineering and Technology Journal | ||
| Article 13, Volume 31, 7A, 2013, Pages 1404-1417 PDF (471.64 K) | ||
| DOI: 10.30684/etj.31.7A13 | ||
| Author | ||
| Maysaa Hameed Al-Hamdani | ||
| Abstract | ||
| The global features of face image have been extensively used for face recognition however they are sensitive to variations caused by expressions, illumination, pose, occlusions and makeup. The paper describes the enhancement in the behavior of the 2D PCA (Principles Component Analysis) based recognition algorithm that recognize face images by adding noise removal filter before and after the recognition stage, PCA algorithm based on information theory concept, seeks a computational model that best describes a face by extracting the most relevant information contained, and compare the eigenface with the eigenfaces in the gallery database, the euclidean distance check the face image acceptance with noise removal filter added as an additional step to modify the performance of classic PCA algorithm to get better recognition. | ||
|
Statistics Article View: 290 PDF Download: 202 |
||