Abstract: Optical Character Recognition (OCR) systems use robust software for searching words from scanned multilingual Indian documents. Manually searching such documents is tedious and time- ...

Abstract: Effective communication between hearing-impaired individuals and the general population remains a challenge due to the unfamiliarity with sign language. To bridge this gap, we propose a real ...

Abstract: Even though sign language helps many deaf and mute individuals communicate, a major gap remains because the public does not understand or use sign languages often. This research proposes a ...

United States Customs and Border Protection plans to spend $225,000 for a year of access to Clearview AI, a face recognition tool that compares photos against billions of images scraped from the ...

Bad Bunny's Super Bowl halftime show performance will be the first in the big game's history to feature a Puerto Rican Sign Language (LSPR) interpreter. Celimar Rivera Cosme, who has worked with Bad ...

Abstract: Sign-Language-Recognition (SLR) innovation has awesome potential to strengthen communication and availability towards hearing impairment. The prime objective is to develop an effective and ...

Abstract: This paper introduces an improved Arabic Sign Language Recognition (ArSLR) system that aims to facilitate increased accessibility to communication for the deaf and hard-of-hearing population ...

Federal use of facial recognition and related surveillance technologies has expanded decisively into the monitoring of domestic protest activity, according to a growing body of reporting and firsthand ...

This paper proposes a multi-modal deep learning framework for Arabic Sign Language (ArSL) recognition, addressing the challenges of both static and dynamic gesture recognition. The framework ...

Abstract: This article introduces a real-time sign language-to-text translator using Convolutional Neural Networks (CNNs) to overcome communication obstacles for the deaf and hearing-impaired ...