A novel Gabor-kernel face recognition method is proposed in this paper. This involves convolving a face image with a series of Gabor wavelets at different ...

Our Gabor-Kernel method first convolves a face image with a set of Gabor wavelets then applies KPCA and. KDA to the resultant feature vectors to extract robust ...

The Gabor + KDA method achieves 92% recognition accuracy using only 35 features of a face image, demonstrating the advantage of Kernel methods.

A novel Gabor-Kernel face recognition method is proposed in this paper. This involves convolving a face image with a series of Gabor wavelets at different ...

A novel Gabor-kernel face recognition method is proposed in this paper. This involves convolving a face image with a series of Gabor wavelets at different ...

A discriminative and robust feature -- Kernel enhanced informative Gabor feature is proposed in this paper for face recognition.

Oct 22, 2024 · This paper presents a novel face recognition method based on the Gabor filter bank, Kernel Principle Component Analysis (KPCA) and Support ...

Gabor filter is used to capture facial features aligned at specific angles. Along with these, a Binary Particle Swarm Optimization based feature selection ...

Face Detection Technique by Gabor Feature and Kernel Principal Component Extraction Using K-NN Classifier with Varying Distance · Computer Science · 2015.

Bibliographic details on Gabor Feature Based Face Recognition Using Kernel Methods.