Face recognition algorithm based on WPT and 2D-QPCA
Wenxue Hong · Computer Engineering and Applications Journal · 2011
This paper proposes a novel face recognition algorithm based on Wavelet Packet Transform(WPT) and two-Dimensional Quaternion Principal Component Analysis(2D-QPCA) .Wavelet packet decomposition coefficients are combined to constitute the quaternion matrix,then 2D-QPCA is used to reduce dimensions and construct quaternion feature space.After that the space is divided into several sub-blocks,and each sublock is classified according to the principle of the nearest neighbor.These sub-block classification results are voted to complete the ultimate face recognition.Compared with the traditional algorithm such as the PCA algorithm,experiment results on four face databases(Orl,Yale face database,etc) show that the proposed face recognition algorithm is superior and robust to the light and expression changes.