TY - GEN
T1 - Face recognition and verification using histogram equalization
AU - Ramírez-Gutiérrez, Kelsey
AU - Cruz-Pérez, Daniel
AU - Pérez-Meana, Héctor
PY - 2010
Y1 - 2010
N2 - This paper proposes a face recognition and verification algorithm based on histogram equalization to standardize the faces illumination reducing in such way the variations for further features extraction; using the image phase spectrum and principal components analysis, which allow the reduction of the data dimension without much information loss. Evaluation results show the desirable features of proposal scheme reaching recognition rate over 97% and a verification error lower than 0.003%.
AB - This paper proposes a face recognition and verification algorithm based on histogram equalization to standardize the faces illumination reducing in such way the variations for further features extraction; using the image phase spectrum and principal components analysis, which allow the reduction of the data dimension without much information loss. Evaluation results show the desirable features of proposal scheme reaching recognition rate over 97% and a verification error lower than 0.003%.
KW - Fast fourier transform
KW - Histogram equalization
KW - Principal component analysis
UR - http://www.scopus.com/inward/record.url?scp=79958726857&partnerID=8YFLogxK
M3 - Contribución a la conferencia
AN - SCOPUS:79958726857
SN - 9789604742318
T3 - International Conference on Applied Computer Science - Proceedings
SP - 85
EP - 89
BT - Selected Topics in Applied Computer Science - 10th WSEAS International Conference on Applied Computer Science, ACS'10
T2 - 10th WSEAS International Conference on Applied Computer Science, ACS'10
Y2 - 4 October 2010 through 6 October 2010
ER -