Simplified Gabor wavelets for human face recognition

Date:2008

Introduction

The Gabor wavelet (GW) is similar to the response of the 2-D receptive field of the mammalian simple cortical cell.

As the dimension of the feature vectors using GWs is very large, PCA/FLD are used to reduce the dimension. To further improve the performance, kernel methods are also used with the Gabor features. The improvement of both the linear and the kernel methods is due to the fact that GW features are robust to illumination, rotation, and scale.

Simplified GW (SGW)