Title :
Face recognition by combining several algorithms
Author_Institution :
Dept. of Autom., Tsinghua Univ., Beijing, China
Abstract :
Many algorithms for human face recognition have been proposed in recent years. We study how to combine these algorithms for better performance. A fusion framework combining the existing recognition algorithms based on a support vector machine is developed. The experimental results demonstrate its effectiveness.
Keywords :
face recognition; learning automata; algorithms; human face recognition; support vector machine; Algorithm design and analysis; Automation; Biometrics; Face recognition; Humans; Kernel; Polynomials; Support vector machine classification; Support vector machines; Voting;
Conference_Titel :
Pattern Recognition, 2002. Proceedings. 16th International Conference on
Print_ISBN :
0-7695-1695-X
DOI :
10.1109/ICPR.2002.1047985
