Title
Combined face recognition using wavelet packets and radial basis function neural network
Abstract
In this paper we present a new approach to recognition of frontal faces in color images. It involves face extraction, creation of face models with wavelet packet decomposition for dimensionality reduction, creation of neural classifiers with radial basis functions and combination of classifier results. The first step of the method is face detection through skin-color modeling and segmentation. After the face is extracted, wavelet decomposition is performed. Then, neural classifiers are created respectively for the approximation and details of the wavelet packet decomposition. In the end, combination of classifier results is used to raise overall system availability.
Year
DOI
Venue
2007
10.1145/1330598.1330702
CompSysTech
Keywords
Field
DocType
wavelet packet decomposition,face detection,combined face recognition,color image,classifier result,radial basis function neural,wavelet decomposition,neural classifier,face model,frontal face,face extraction,dimensionality reduction,radial basis function,network,face recognition,wavelet packets
Facial recognition system,Radial basis function,Dimensionality reduction,Pattern recognition,Radial basis function neural,Computer science,Segmentation,Artificial intelligence,Face detection,Classifier (linguistics),Wavelet packet decomposition
Conference
Citations 
PageRank 
References 
8
0.54
4
Authors
3
Name
Order
Citations
PageRank
Ognian Boumbarov1143.71
Strahil Sokolov2100.91
Georgy Gluhchev380.54