DocumentCode
1561564
Title
A Simple High Accuracy Approach for Face Recognition
Author
Chen, Liang ; Tokuda, Naoyuki
Author_Institution
Univ. of Northern British Columbia, Prince George
fYear
2007
Firstpage
92
Lastpage
98
Abstract
The theory that electoral college is more stable than direct popular vote is applied in face recognition. By simply adopting most traditional PCA approach, the experiments in this paper show a remarkably higher recognition rate than any known algorithm is reached with electoral college strategy on known FERET datasets. It indicates that a significant breakthrough can be expected by embedding electoral college with more effective face recognition algorithms.
Keywords
face recognition; principal component analysis; FERET dataset; PCA approach; electoral college; face recognition; Associative memory; Cognitive informatics; Computer science; Educational institutions; Face recognition; Pattern matching; Pattern recognition; Pollution; Principal component analysis; Voting;
fLanguage
English
Publisher
ieee
Conference_Titel
Cognitive Informatics, 6th IEEE International Conference on
Conference_Location
Lake Tahoo, CA
Print_ISBN
9781-4244-1327-0
Electronic_ISBN
978-1-4244-1328-7
Type
conf
DOI
10.1109/COGINF.2007.4341877
Filename
4341877
Link To Document