Designing a New Face Recognition System Robust to Various Poses
- Department of Electrical and Computer Engineering , Mahshahr Branch, Islamic Azad University, Mahshahr, Iran.
Different scholars in the world design wide varieties of systems for automatic face recognition process. The face recognition process is dependent on different variables, such as the illumination and the different poses of the image. Therefore, face recognition process is still a fundamental issue in image processing. In this paper, we have developed a new method for face recognition based on ant colony algorithm. To assess the performance and effectiveness of the designed system, face images available in ORL database are used. The results obtained indicate that the proposed method for face recognition accuracy is about 97.3 percent. Besides, comparisons indicate that the performance of the proposed method compared to other methods enjoys a remarkable accuracy.
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Behzad Ghanavati, Designing a New Face Recognition System Robust to Various Poses, Journal of Mathematics and Computer Science, 15 (2015), no. 1, 32-39
Ghanavati Behzad, Designing a New Face Recognition System Robust to Various Poses. J Math Comput SCI-JM. (2015); 15(1):32-39
Ghanavati, Behzad. "Designing a New Face Recognition System Robust to Various Poses." Journal of Mathematics and Computer Science, 15, no. 1 (2015): 32-39
- Face detection
- Face Recognition
- Face poses Ant Colony Optimization Algorithm.
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