Detection of arabic sign language by machine learning techniques with PCA and LDA
Mosab Hassan,
Atheer Sabri,
Alaa Ali
Abstract:An automatic system translated Arabic Sign Language to improve deaf-hearing communication. • KNN algorithm had 86.4% accuracy in recognizing 32 Arabic sign language letters. • The system bridges the communication gap between sign language users and non-users. People need a communication channel and a way to communicate with a person or group. Deaf people communicate with others through sign language. The remarkable and rapid development in image and video recognition systems has made researchers use this devel… Show more
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