Bangla Sign Language (BdSL) Alphabets and Numerals Classification Using a Deep Learning Model.

ABSTRACT: A real-time Bangla Sign Language interpreter can enable more than 200 k hearing and speech-impaired people to the mainstream workforce in Bangladesh. Bangla Sign Language (BdSL) recognition and detection is a challenging topic in computer vision and deep learning research because sign language recognition accuracy may vary on the skin tone, hand orientation, and background. This research has used deep machine learning models for accurate and reliable BdSL Alphabets and Numerals using two well-suited and robust datasets. The dataset prepared in this study comprises of the largest image database for BdSL Alphabets and Numerals in order to reduce inter-class similarity while dealing with diverse image data, which comprises various backgrounds and skin tones. The papers compared classification

SUBMITTER: Podder KK 

PROVIDER: S-EPMC8780505 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature