TY - GEN
T1 - Face recognition across illumination
AU - Aly, Saleh
AU - Sagheer, Alaa
AU - Tsuruta, Naoyuki
AU - Taniguchi, Rin Ichiro
PY - 2007
Y1 - 2007
N2 - Illumination variation in face images is one of the most difficult problems in face recognition system. The performance of self-organizing map-based face recognition system is highly degraded when the illumination of test images differ from training images. Illumination normalization is a way to solve this problem. Both global and local image enhancement methods are studied in this paper. Local histogram equalization method is highly improving the recognition accuracy of the CMU-PIE face database.
AB - Illumination variation in face images is one of the most difficult problems in face recognition system. The performance of self-organizing map-based face recognition system is highly degraded when the illumination of test images differ from training images. Illumination normalization is a way to solve this problem. Both global and local image enhancement methods are studied in this paper. Local histogram equalization method is highly improving the recognition accuracy of the CMU-PIE face database.
UR - https://www.scopus.com/pages/publications/78549257425
UR - https://www.scopus.com/pages/publications/78549257425#tab=citedBy
M3 - Conference contribution
AN - SCOPUS:78549257425
SN - 9784990288013
T3 - Proceedings of the 12th International Symposium on Artificial Life and Robotis, AROB 12th'07
SP - 802
EP - 805
BT - Proceedings of the 12th International Symposium on Artificial Life and Robotics, AROB 12th'07
T2 - 12th International Symposium on Artificial Life and Robotics, AROB 12th'07
Y2 - 25 January 2007 through 27 January 2007
ER -