Low-resolution face recognition (LR FR) aims to recognize faces from small size or poor
quality images with varying pose, illumination, expression, etc. It has received much …

Among tangible threats facing current biometric systems are spoofing attacks. A spoofing
attack occurs when a person tries to masquerade as someone else by falsifying data and …

Research on non-intrusive software-based face spoofing detection schemes has been
mainly focused on the analysis of the luminance information of the face images, hence …

Research on face spoofing detection has mainly been focused on analyzing the luminance
of the face images, hence discarding the chrominance information which can be useful for …

Local binary pattern (LBP) is widely adopted for efficient image feature description and
simplicity. To describe the color images, it is required to combine the LBPs from each …

We propose a novel local color texture descriptor called local binary pattern for color images
(LBPC). The proposed descriptor uses a plane to threshold color pixels in the neighborhood …

This paper proposes a novel face descriptor based on color information, ie, so-called local
color vector binary patterns (LCVBPs), for face recognition (FR). The proposed LCVBP …

Feature extraction is vital for face recognition. In this paper, we focus on the general feature
extraction framework for robust face recognition. We collect about 300 papers regarding face …

Tongue images have been proved to be effective in diabetes mellitus (DM) diagnosis.
Without requirement of collecting blood sample, tongue image based diagnosis approach is …

This research paper introduces two novel color descriptors for Face Recognition (FR) called
as Color ZigZag Binary Pattern (CZZBP) and Color Median Block ZigZag Binary Pattern …