Paper Info
Title
Face recognition using correlation between illuminant context
Abstract
In this paper investigate how to aggregation method from face recognition varying environments. Face Images clustering is enhanced face recognition performance. Face image is clustered several cluster unsupervised or statistical method and we recognize using correlation between clusters. In this paper we adopted recognition algorithm by aggregation method. In this paper we present the recognition system using the table of fitness correlations between clusters for combining the results from the individual clusters. By training the different classifiers with different clusters of training data and adopting fusion method considering fitness correlation between clusters we found out better recognition performance than combining classifiers fed with same data.
Year
DOI
Venue
2006
10.1007/11785231_87
ICAISC
Keywords
Field
DocType
face recognition performance,face image,aggregation method,recognition algorithm,fitness correlation,face recognition,illuminant context,recognition system,fusion method,statistical method,better recognition performance
Cluster (physics),Facial recognition system,Pattern recognition,Computer science,Image processing,Correlation,Artificial intelligence,Standard illuminant,Soft computing,Recognition algorithm,Cluster analysis,Machine learning
Conference
Volume
ISSN
ISBN
4029
0302-9743
3-540-35748-3
Citations 
PageRank 
References 
1
0.35
11
Authors
3
Name
Order
Citations
PageRank
Mi Young Nam16115.03
Battulga Bayarsaikhan211.03
Phill Kyu Rhee36024.82