Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/51162
Title: Face recognition using recursive fisher linear discriminant
Authors: Xiang, C. 
Fan, X.A.
Lee, T.H. 
Keywords: Face recognition
Feature extraction
FLD
Issue Date: 2004
Source: Xiang, C.,Fan, X.A.,Lee, T.H. (2004). Face recognition using recursive fisher linear discriminant. 2004 International Conference on Communications, Circuits and Systems 2 : 800-804. ScholarBank@NUS Repository.
Abstract: Fisher Linear Discriminant (FLD) has recently emerged as a more efficient approach for extracting features for many pattern classification problems than traditional principal component analysis (PCA). However, the constraint on the total number of features available from FLD has seriously limited its application to a large class of problems. In order to overcome this disadvantage of FLD, a recursive procedure of calculating the discriminant features is suggested in this, paper. Extensive experiments of comparing the new algorithm with the traditional PCA and FLD approaches have been carried out on face recognition problem, in which the resulting improvement of the performances by the new feature extraction scheme is significant.
Source Title: 2004 International Conference on Communications, Circuits and Systems
URI: http://scholarbank.nus.edu.sg/handle/10635/51162
ISBN: 0780386477
Appears in Collections:Staff Publications

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