Title :
MMP-PCA face recognition method
Author :
Su, Guangda ; Zhang, Cuiping ; Ding, Rong ; Du, Cheng
Author_Institution :
Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
fDate :
12/5/2002 12:00:00 AM
Abstract :
A multimodal part face recognition method based on principal component analysis (MMP-PCA) is presented. Five kinds of parts are dealt with by PCA to obtain eigenface, eigeneyebrow, eigeneye, eigennose and eigenmouth. Thirty-one kinds of different face recognition models are created by using combinations of different parts. The recognition rates of 17 models among them are given.
Keywords :
eigenvalues and eigenfunctions; face recognition; principal component analysis; MMP-PCA face recognition method; eigeneye; eigeneyebrow; eigenface; eigenmouth; eigennose; face recognition models; multimodal part face recognition method; principal component analysis; recognition rates;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:20021033
