Paper Info
Title
Pattern recognition using evolutionary classifier and feature selection
Abstract
In this paper, we propose face feature selection and classifier selection method for face image group according illuminant. In knowledge based, we stored context and weight for feature points and selected classifier for context. This context is distinguished the face images having varying illumination. This context knowledge can be accumulated and used later. Therefore we designed the face recognition system by using evolution method and efficient face feature point selection. It can improve its performance incrementally using proposed algorithm. And we proposed efficient context modeling method by using SOM. For context awareness, we made artificial face images from FERET fa dataset and divided several group. Therefore we improved face recognition ratio using adaptable classifier, feature and weight for feature points.
Year
DOI
Venue
2006
10.1007/11881599_45
FSKD
Keywords
Field
DocType
face image,evolutionary classifier,feature point,pattern recognition,face recognition system,context knowledge,face recognition ratio,artificial face image,context awareness,efficient face feature point,face feature selection,face image group,context model,face recognition,feature selection,knowledge base
Computer vision,Facial recognition system,Evolutionary algorithm,Feature selection,Pattern recognition,Feature (computer vision),Computer science,Image processing,Context model,Knowledge extraction,Artificial intelligence,Classifier (linguistics)
Conference
Volume
ISSN
ISBN
4223
0302-9743
3-540-45916-2
Citations 
PageRank 
References 
0
0.34
10
Authors
2
Name
Order
Citations
PageRank
Mi Young Nam16115.03
Phill Kyu Rhee26024.82