Biometric systems have the goal of measuring and analyzing the unique physical or
behavioral characteristics of an individual. The main feature of biometric systems is the use …

Technologies and services towards smart-vehicles and Intelligent-Transportation-Systems
(ITS), continues to revolutionize many aspects of human life. This paper presents a detailed …

As a fundamental and critical task in various visual applications, image matching can identify
then correspond the same or similar structure/content from two or more images. Over the …

Texture analysis is used in a very broad range of fields and applications, from texture
classification (eg, for remote sensing) to segmentation (eg, in biomedical imaging), passing …

With the enhancement in agricultural technology and the use of artificial intelligence in
diagnosing plant diseases, it becomes important to make pertinent research to sustainable …

With the continued development of artificial intelligence (AI) technology, research on
interaction technology has become more popular. Facial expression recognition (FER) is an …

Texture is a fundamental characteristic of many types of images, and texture representation
is one of the essential and challenging problems in computer vision and pattern recognition …

Face Recognition is a computer application that is capable of detecting, tracking, identifying
or verifying human faces from an image or video captured using a digital camera. Although …

Local binary patterns (LBP) are considered among the most computationally efficient high-
performance texture features. However, the LBP method is very sensitive to image noise and …

Abstract Local Binary Patterns (LBP) have emerged as one of the most prominent and
widely studied local texture descriptors. Truly a large number of LBP variants has been …