TY  - JOUR
T1  - The Comparison of Face Detection Methods in Angled Mode
AU - Hashemi, Seyyed Mohammad Reza AU - Saadati, Mahdi AU - Ghorbani, Mohsen Haji AU - Inallou, M. Madadpour 
JO  - Journal of Engineering and Applied Sciences
VL  - 11
IS  - 4
SP  - 915
EP  - 919
PY  - 2016
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2016.915.919
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2016.915.919
KW  - Posed face detection
KW  -image processing
KW  -comparing face detection methods
KW  -fuzzy logic
KW  -ORL database
AB  - 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.
ER  -