DocumentCode
2340167
Title
Face recognition based on classifier combinations
Author
Nan, Zhang ; Jun, Shi
Author_Institution
Sch. of Electr. Eng. & Autom., Shandong Polytech. Univ., Jinan, China
Volume
1
fYear
2011
fDate
22-23 Oct. 2011
Firstpage
267
Lastpage
270
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;
fLanguage
English
Publisher
ieee
Conference_Titel
System Science, Engineering Design and Manufacturing Informatization (ICSEM), 2011 International Conference on
Conference_Location
Guiyang
Print_ISBN
978-1-4577-0247-1
Type
conf
DOI
10.1109/ICSSEM.2011.6081202
Filename
6081202
Link To Document