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This paper proposes an application of artificial neural network for Thai sign language recognition using image processing. A camera takes images of the movement of a person’s hands as Thai sign language for black and white image processing for the input of artificial neural network. The experiment results show that the average of all the errors in Thai sign language recognition using artificial neural network will not exceed 16%.
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Faculty of Engineering and Technology
Mahanakorn University of Technology
H. Muthu Mariappan and V. Gomathi, "Real-Time Recognition of Indian Sign Language," in Proc. International Conference on Computational Intelligence in Data Science (ICCIDS), Chennai, India, 2019, pp. 1 - 6.
K. Bantupalli and Y. Xie, "American Sign Language Recognition using Deep Learning and Computer Vision," in Proc. IEEE International Conference on Big Data (Big Data), Seattle, WA, USA, 2018, pp. 4896 - 4899.
Suharjito, H. Gunawan, N. Thiracitta and A. Nugroho, "Sign Language Recognition Using Modified Convolutional Neural Network Model," in Proc. Indonesian Association for Pattern Recognition International Conference (INAPR), Jakarta, Indonesia, 2018, pp. 1 - 5.
Y. Xue, S. Gao, H. Sun and W. Qin, "A Chinese Sign Language Recognition System Using Leap Motion," in Proc. International Conference on Virtual Reality and Visualization (ICVRV), Zhengzhou, China, 2017, pp. 180 - 185.
M. A. Uddin and S. A. Chowdhury, "Hand sign language recognition for Bangla alphabet using Support Vector Machine," in Proc. International Conference on Innovations in Science, Engineering and Technology (ICISET), Dhaka, 2016, pp. 1 - 4.
R. Galicia, O. Carranza, E. D. Jiménez and G. E. Rivera, "Mexican sign language recognition using movement sensor," in Proc. 24th International Symposium on Industrial Electronics (ISIE), Buzios, 2015, pp. 573 - 578.
A. Sekhon and P. Agarwal, "Face recognition using back propagation neural network technique," in Proc. International Conference on Advances in Computer Engineering and Applications, Ghaziabad, 2015, pp. 226 - 230.
R. Mukhaiyar and R. Safitri, "Implementation of Artificial Neural Network: Back Propagation Method on Face Recognition System," in Proc. 16th International Conference on Quality in Research (QIR): International Symposium on Electrical and Computer Engineering, Padang, Indonesia, 2019, pp. 1 - 5.