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 …

In this paper, we propose a new approach for face representation and recognition based on
Adaptively Weighted Sub-Gabor Array (AWSGA) when only one sample image per enrolled …

In this paper, we propose Learned Local Gabor Patterns (LLGP) for face representation and
recognition. The proposed method is based on Gabor feature and the concept of texton, and …

Face recognition is an important research field of pattern recognition. Up to now, it caused
researchers great concern from these fields, such as pattern recognition and computer …

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 …

A discriminative and robust feature—kernel enhanced informative Gabor feature—is
proposed in this paper for face recognition. Mutual information is applied to select a set of …

In this paper we propose a face recognition system based on local features. Interesting
feature points in the face image are located by Gabor filters, which gives us an automatic …

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 …

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 …

For the past few decades, Gabor filter banks have been used for extracting features in face
recognition. The state-of-the-art approach for the design and selection of Gabor filter banks …