TY - GEN
T1 - Method of face recognition based on red-black wavelet transform and PCA
AU - He, Yuqing
AU - He, Huan
AU - Yang, Hongying
PY - 2008
Y1 - 2008
N2 - With the development of the man-machine interface and the recognition technology, face recognition has became one of the most important research aspects in the biological features recognition domain. Nowadays, PCA(Principal Components Analysis) has applied in recognition based on many face database and achieved good results. However, PCA has its limitations: the large volume of computing and the low distinction ability. In view of these limitations, this paper puts forward a face recognition method based on red-black wavelet transform and PCA. The improved histogram equalization is used to realize image preprocessing in order to compensate the illumination. Then, appling the red-black wavelet sub-band which contains the information of the original image to extract the feature and do matching. Comparing with the traditional methods, this one has better recognition rate and can reduce the computational complexity.
AB - With the development of the man-machine interface and the recognition technology, face recognition has became one of the most important research aspects in the biological features recognition domain. Nowadays, PCA(Principal Components Analysis) has applied in recognition based on many face database and achieved good results. However, PCA has its limitations: the large volume of computing and the low distinction ability. In view of these limitations, this paper puts forward a face recognition method based on red-black wavelet transform and PCA. The improved histogram equalization is used to realize image preprocessing in order to compensate the illumination. Then, appling the red-black wavelet sub-band which contains the information of the original image to extract the feature and do matching. Comparing with the traditional methods, this one has better recognition rate and can reduce the computational complexity.
KW - Face recognition
KW - Improved histogram equalization
KW - PCA
KW - Red-black wavelet transform
UR - http://www.scopus.com/inward/record.url?scp=56549097318&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-87442-3_70
DO - 10.1007/978-3-540-87442-3_70
M3 - Conference contribution
AN - SCOPUS:56549097318
SN - 3540874402
SN - 9783540874409
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 561
EP - 568
BT - Advanced Intelligent Computing Theories and Applications
T2 - 4th International Conference on Intelligent Computing, ICIC 2008
Y2 - 15 September 2008 through 18 September 2008
ER -