Design and implementation of a sign language recognition system based on convolutional neural networks (CNNs)

Bao Liu; Wei Hao

doi:10.1117/12.2660943

16 December 2022 Design and implementation of a sign language recognition system based on convolutional neural networks (CNNs)

Bao Liu, Wei Hao

Author Affiliations +

Proceedings Volume 12500, Fifth International Conference on Mechatronics and Computer Technology Engineering (MCTE 2022); 125006F (2022) https://doi.org/10.1117/12.2660943
Event: 5th International Conference on Mechatronics and Computer Technology Engineering (MCTE 2022), 2022, Chongqing, China

Abstract

In this paper, we propose a sign language recognition system based on convolutional neural networks (CNNs) using static number gestures (from zero to seven). We collect images captured by a computer camera, using Python as the scripting language, to process the data on Open-Source Computer Vision Library (OpenCV). Keras Sequential model is used to construct a CNN-based model, and this model is then used to perform a series of functions, including the detection and recognition of sign language.

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Bao Liu and Wei Hao "Design and implementation of a sign language recognition system based on convolutional neural networks (CNNs)", Proc. SPIE 12500, Fifth International Conference on Mechatronics and Computer Technology Engineering (MCTE 2022), 125006F (16 December 2022); https://doi.org/10.1117/12.2660943

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