TY - GEN
T1 - Facial authentication using Gabor phase feature representations
AU - Nouyed, Iqbal
AU - Poon, Bruce
AU - Amin, M. Ashraful
AU - Yan, Hong
PY - 2013
Y1 - 2013
N2 - Two facial authentication methods based on two different Gabor phase feature representations are proposed in this paper. In the first proposed scheme, similarity score having the highest classification accuracy is used as threshold of the Gabor filter. In the second method, minimum intra-personal similarity score is used as individual subject's threshold for authentication. Both of these methods have shown high classification capability for our dataset.
AB - Two facial authentication methods based on two different Gabor phase feature representations are proposed in this paper. In the first proposed scheme, similarity score having the highest classification accuracy is used as threshold of the Gabor filter. In the second method, minimum intra-personal similarity score is used as individual subject's threshold for authentication. Both of these methods have shown high classification capability for our dataset.
KW - Gabor magnitude features
KW - Gabor wavelets
KW - Human face authentication
KW - Local Gabor binary pattern
UR - https://www.scopus.com/pages/publications/84880060725
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-84880060725&origin=recordpage
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 9789881925183
VL - 2202
SP - 413
EP - 418
BT - Lecture Notes in Engineering and Computer Science
PB - Newswood Limited
T2 - International MultiConference of Engineers and Computer Scientists 2013, IMECS 2013
Y2 - 13 March 2013 through 15 March 2013
ER -