TY - GEN
T1 - Face recognition based on the phase spectrum of local normalized image
AU - Olivares-Mercado, Jesus
AU - Hotta, Kazuhiro
AU - Takahashi, Haruhisa
AU - Perez-Meana, Hector
AU - Sanchez-Perez, Gabriel
PY - 2008
Y1 - 2008
N2 - This paper proposes a robust faces recognition method based on the Phase Spectrum Features of the local normalized image. The Principal Components Analysis (PCA) and the Support Vector Machine (SVM) are used in the classification stage. We evaluate how the proposed method is robust to illumination, occlusion and expressions using "AR Face Database", which includes the face images of 109 subjects (60 males and 49 females) under illumination changes, expression changes and partial occlusion. The proposed method provides results with a correct recognition rate more than 95.5%.
AB - This paper proposes a robust faces recognition method based on the Phase Spectrum Features of the local normalized image. The Principal Components Analysis (PCA) and the Support Vector Machine (SVM) are used in the classification stage. We evaluate how the proposed method is robust to illumination, occlusion and expressions using "AR Face Database", which includes the face images of 109 subjects (60 males and 49 females) under illumination changes, expression changes and partial occlusion. The proposed method provides results with a correct recognition rate more than 95.5%.
UR - http://www.scopus.com/inward/record.url?scp=57849161430&partnerID=8YFLogxK
U2 - 10.1109/MICAI.2008.46
DO - 10.1109/MICAI.2008.46
M3 - Contribución a la conferencia
AN - SCOPUS:57849161430
SN - 9780769534411
T3 - 7th Mexican International Conference on Artificial Intelligence - Proceedings of the Special Session, MICAI 2008
SP - 123
EP - 127
BT - 7th Mexican International Conference on Artificial Intelligence - Proceedings of the Special Session, MICAI 2008
T2 - 7th Mexican International Conference on Artificial Intelligence, MICAI 2008
Y2 - 27 October 2008 through 31 October 2008
ER -