Local binary descriptors are extensively used for image representation in many of the
computer vision applications. A majority of these local binary descriptors exploit the intensity …

With the aging society approaching, the daily safety of the elderly has attracted more and
more people's attention, especially the elderly who live alone without anyone to take care of …

Local binary pattern is one of the most known descriptors, which is used for texture
classification. Although completed local binary pattern is seemingly the most precise variant …

Here, we propose a novel method for texture recognition that employs fuzzy modeling over
deep learning features. Specifically, the well-established pipeline of deep filter banks for …

The usage of touchless palmprint recognition (PPR) increases due to its acceptant
interaction mode. However, the region of interest (ROI) localization at a distance is quite …

Texture recognition is one of the most important tasks in computer vision, with numerous
applications in several areas. Despite the recent success of end-to-end deep learning …

The mortality rate of breast cancer can be reduced by early diagnosis and treatment. The
computer-aided diagnosis (CAD) systems can effectively help physicians identify the early …

The recent boom in publicly available face authentication (FA) system has brought forward
the susceptibility of FA systems to different attack vectors, especially spoofing/presentation …

Nitrogen is an essential nutrient element for the growth of citrus tree. The accurate
estimation of leaf nitrogen content (LNC) is important to guarantee fruit quality and yield. The …

In this paper, we propose a local binary pattern (LBP) feature and hash function based dual
watermarking algorithm for database. Attribute feature columns are selected to generate …