Journal of Engineering and Applied Sciences
ISSN: Online 1818-7803ISSN: Print 1816-949x
Abstract
The necessity to use the new technologies and carrying out more detailed studies based on identification of best methods in order to detect people’s face with respect to modes and position angles in the image, prompted the researchers to further focus on this issue. What issue in the event of face detection is always intended as a question mark of full knowledge and ingenuity is to achieve results in line with targeting of scientific and security agencies. Therefore with increasing the risks of terrorism and the necessity to identify the suspect people in doing such actions, carrying out a comprehensive study in order to collect the most new face detection techniques is inevitable. In this study, we studied and compared five modern methods in face detection that include IWC-F, Eignfaces, Fuzzy-IWO, FLDA-PCA, Fuzzy-Ga, Fisherface. We evaluated these methods on the same terms and with the ORL standard dataset and presented the results in detail. In this study, we find that the Fisherface algorithm has better results than other algorithms in the presented database.
How to cite this article:
Seyyed Mohammad Reza Hashemi, Mahdi Saadati, Mohsen Haji Ghorbani and M. Madadpour Inallou. The Comparison of Face Detection Methods in Angled Mode.
DOI: https://doi.org/10.36478/jeasci.2016.915.919
URL: https://www.makhillpublications.co/view-article/1816-949x/jeasci.2016.915.919