Human action recognition in videos is a tough task due to the complex background,
geometrical transformation and an enormous volume of data. Hence, to address these …

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 …

Among several local descriptors invented in literature, the local binary pattern (LBP) is the
prolific one. Despite its advantages like low computational complexity and monotonic gray …

The paper proposes a t-norm-based matching score fusion approach for a multimodal
heterogenous biometric recognition system. Two trait-based multimodal recognition system …

This work presents the LBP variant so-called MB-ZZLBP under illumination and expression
variations. In MB-ZZLBP, initially mean is computed for all the square sub-blocks (size 2× 2) …

A multimodal fusion biometric verification system for face and palmprint modalities is
proposed. The goal is to achieve a higher Accuracy for standard Databases. Fusion is done …

This research paper proposes the novel face recognition (FR) descriptor for pose and
expression variations so-called multi-scale neighbourhood based-tree binary pattern (MNB …

The Biometric features are already proven to be robust for forensic and security purposes.
The fusion of multiple biometric features in a systematic way looks more promising. This …

This paper aims to review the technique of Photometric Stereo (PS), with specific application
to face recognition. PS is a method to rapidly estimate the three-dimensional geometry of a …

Abstract Deep Convolutional Neural Networks (CNNs) have been extremely effective in
many areas of computer vision, particularly in the domain of facial recognition where many …