Real-Time Dynamic Sign Recognition System for English Sign Language Using Support Vector Machine Algorithm
Doaa M. Hawa, Abeer M. Saad · Kurdish Studies · 2022
This paper presents a real-time dynamic sign recognition system for English sign language using a support vector machine (SVM) algorithm.The proposed system can detect and recognize signs performed by a signer in real-time, making it suitable for practical applications.The system uses a camera to capture the signer's gestures and then extracts relevant features from the captured images.The extracted features are then classified using an SVM algorithm, which can effectively handle highdimensional feature vectors and provide accurate classification results.The proposed system is evaluated on a dataset of English sign language gestures and achieves high accuracy in recognizing signs.The results demonstrate the feasibility and effectiveness of the proposed system for real-time sign recognition applications.