Deriving an effective image representation is a critical step for a successful automatic image
recognition application. In this paper, we propose a new feature descriptor named Local …

Spatiotemporal image descriptors are gaining attention in the image research community for
better representation of dynamic textures. In this paper, we introduce a dynamic-micro …

Sentiment analysis has a wide application prospect in business, medicine, security and
other fields, which provides a new perspective for the development of education. Students' …

Component-based software engineering has been increasingly adopted for software
development. This approach relies on using reusable components as the building blocks for …

This paper presents two novel directional patterns, a Maximum Response-based Directional
Texture Pattern (MRDTP) and a Maximum Response-based Directional Number Pattern …

This paper presents an illumination invariant face recognition system that uses local
directional pattern descriptor and modular histogram. The proposed Modular Histogram of …

In this paper, we propose a hybrid background model that relies on edge and non-edge
features of the image to produce the model. We encode these features into a coding …

This paper presents an illumination invariant face recognition system that uses directional
features and modular histogram. The proposed Histogram of Oriented Directional Features …

Face recognition has lot of challenges in biometrics. The challenges are addressed
effectively by local pattern descriptors. The idea of local descriptors is to determine the …

In the field of machine learning and pattern recognition, texture has been a prominent area
of research. Humans are uniquely equipped to distinguish texture; however, computers are …