Sign language is an essential tool to bridge the communication gap between normal and
hearing-impaired people. However, the diversity of over 7000 present-day sign languages …

Image moments have attracted extensive attention from researchers because of their good
global feature description ability and geometric invariance. In recent years, with the wide …

Due to the diversity of hand gestures uses in human computer interaction and the complexity
involved by gestures, many features have been proposed, however each feature has its own …

Inspired by quaternion algebra and the idea of fractional-order transformation, we propose a
new set of quaternion fractional-order generalized Laguerre orthogonal moments (QFr …

In this paper, we aim to carry out a brief study of a new sets of Quaternion Discrete Moment
Invariants (QDMI) in uniform lattice named: Quaternion Tchebichef Moment Invariants …

Facial expressions are important data to understand how systems in social environments
impact people in it. The presence of new technologies and new coupled forms of interaction …

This paper proposes a handcrafted feature-based descriptor namely Local neighborhood
average pattern (LNAP) for static hand gesture recognition. The fact, that the local …

Sign language recognition is the process of converting hand signals used in the sign format
into spoken or written language. It involves analysing and deciphering hand and finger …

Multi-channel Jacobi Moment Invariants (MMI) is a novel feature extraction approach that we
present in this paper (MJMI). We begin by introducing the new MJM set. The RST Moment …

Segmentation of images is a critical pre-processing step in image processing. The objective
of segmentation is to divide an image into two homogeneous segments based on similar …