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

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.