People with hearing impairments are found worldwide; therefore, the development of
effective local level sign language recognition (SLR) tools is essential. We conducted a …

Hand signs are an effective form of human-to-human communication that has a number of
possible applications. Being a natural means of interaction, they are commonly used for …

A system was developed that will serve as a learning tool for starters in sign language that
involves hand detection. This system is based on a skin-color modeling technique, ie …

Abstract Sign Language Recognition (SLR) is a relatively popular research area yet contrary
to its popularity, the implementation of SLR in daily basis is rare; this is due to the complexity …

Creating a desktop application that uses a computer's webcam to capture a person signing
gestures for American sign language (ASL), and translate it into corresponding text and …

Recognizing objects in images requires complex skills that involve knowledge about the
context and the ability to identify the borders of the objects. In computer vision, this task is …

With the advancements in the computer vision technology, learning and using sign
languages to communicate with deaf and mute people has become easier. Exciting …

Semantic segmentation consists in classifying each pixel of an image by assigning it to a
specific label chosen from a set of all the available ones. During the last few years, a lot of …

As human being's communication is a very crucial part of our life, it is essential for sharing
thoughts and ideas for our survival. But unfortunately for the speaking and hearing-impaired …

The task of classifying each pixel in an image is known as semantic segmentation in the
context of computer vision, and it is critical for image analysis in many domains. Semantic …