Sensing technologies place significant interest in the use of biometrics for the recognition
and assessment of individuals. Pattern mining techniques have established a critical step in …

Discrimination power analysis (DPA) is a statistical analysis combining discrimination
concept with discrete cosine transform coefficients (DCTCs) properties. Unfortunately there …

This paper proposes new color local texture features, ie, color local Gabor wavelets
(CLGWs) and color local binary pattern (CLBP), for the purpose of face recognition (FR). The …

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 …

We present an overview of our recent progress and the current state-of-the-art techniques of
color image fusion for night vision applications. Inspired by previously developed color …

Face recognition demonstrates the significant progress in the research field of biometric and
computer vision. The fact is due to the current systems perform well under relatively control …

This paper presents an accurate and efficient eye detection method using the discriminatory
Haar features (DHFs) and a new efficient support vector machine (eSVM). The DHFs are …

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 …

Local binary patterns of more bits extracted in a large structure have shown promising
results in visual recognition applications. This results in very high-dimensional data so that it …

Proposing a proper method for face recognition is still a challenging subject in biometric and
computer vision applications. Although some reliable systems were introduced under …