Title :
Face recognition based on classifier combinations
Author :
Nan, Zhang ; Jun, Shi
Author_Institution :
Sch. of Electr. Eng. & Autom., Shandong Polytech. Univ., Jinan, China
Abstract :
This paper introduces face recognition by combining multiple classifiers. The principles of various classifier combination schemes are describes. Some experiments of these classifier combination methods on both the ORL face database and the Yale face database are given. The experiments result explain our understanding about classifier combinations.
Keywords :
face recognition; image classification; ORL face database; Yale face database; classifier combinations; face recognition; multiple classifiers; Databases; Face recognition; Image recognition; Zinc; Dempster-Shafer; classifier combination; decision templates; face recognition;
Conference_Titel :
System Science, Engineering Design and Manufacturing Informatization (ICSEM), 2011 International Conference on
Conference_Location :
Guiyang
Print_ISBN :
978-1-4577-0247-1
DOI :
10.1109/ICSSEM.2011.6081202