An Efficient Convolutional Neural Network Classification Model for Several Sign Language Alphabets
Ahmed Osman Mahmoud,
Ibrahim Ziedan,
Amr Ahmed Zamel
Abstract:Although deaf people represent over 5% of the world's population, according to what the World Health Organization stated in May 2022, they suffer from social and economic marginalization. One way to improve the lives of deaf people is to try to make communication between them and others easier. Sign language, the means through which deaf people can communicate with other people, can benefit from modern techniques in machine learning. In this study, several convolutional neural networks (CNN) models are designe… Show more
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