SVM-based Discriminant Analysis for face recognition

Sang-Ki Kim Sang-Ki Kim,Sangyoun Lee Sangyoun Lee,Kar-Ann Toh Kar-Ann Toh

doi:10.1109/iciea.2008.4582892

SVM-based Discriminant Analysis for face recognition

Sang-Ki Kim Sang-Ki Kim, Sangyoun Lee Sangyoun Lee + Show 1 more

https://doi.org/10.1109/iciea.2008.4582892

Copy DOI

Publication Date: Jun 1, 2008

Citations: 15

Affiliation: Yonsei University

#Discriminant Analysis For Face Recognition #Variant Of Linear Discriminant Analysis + Show 8 more

Abstract
Full-Text PDF
Similar Papers

Abstract

In this paper, we introduce a novel variant of Linear Discriminant Analysis (LDA) for face recognition. The proposed method attempts to find an optimal LDA matrix by redesigning the between-class scatter matrix incorporating a Support Vector Machine (SVM). Our empirical evaluations show that the proposed method offers noticeable performance improvement over the conventional LDA.

Full Text