In this paper, we propose a Gabor-based face recognition method. This method fuses multi-
resolution Gabor features of face images at the matching score level. The first …

Gabor features have been known to be effective for face recognition. However, only a few
approaches utilize phase feature and they usually perform worse than those using …

In this paper, we propose a robust face recognition method to provide fast response on a
mobile device by selectively generating Gabor features. The Gabor filter has been popularly …

For face recognition, Gabor features are effectively used. But, only a few approaches used
Gabor phase features and they are performing worse than the Gabor magnitude features. To …

On the one hand, the support vector machine (SVM) has the high performance in tackling
small sample size and high-dimensional data, and has the good generalization ability too …

The Gabor feature is effective for facial image representation, while linear discriminant
analysis (LDA) can extract the most discriminant information from the Gabor feature for face …

We present an independent Gabor features (IGFs) method and its application to face
recognition. The novelty of the IGF method comes from 1) the derivation of independent …

Face recognition is a research hotspot in recent years. In order to improve recognition
accuracy of face recognition, a feature selection method for face image based on Gabor …

In order to improve the performance of face recognition, a face recognition method based on
an adaptive fusion of multi-directional and multi-scale Log-Gabor features is proposed. First …

In this paper, we introduce a new face recognition approach based on the representation of
each individual by a feature vector extracted through a bank of Gabor filters and Karhunen …