Sign Language to Text Conversion Using Deep Learning
Sign Languages also popularly called Signed Languages. This is the only language by which deaf and dumb can communicate with each other and one of the most unexplored areas. So the proposed paper represents a model that can be used to translate given sign
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G. Ranganathan Joy Chen Álvaro Rocha Editors
Inventive Communication and Computational Technologies Proceedings of ICICCT 2020
Lecture Notes in Networks and Systems Volume 145
Series Editor Janusz Kacprzyk, Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland Advisory Editors Fernando Gomide, Department of Computer Engineering and Automation—DCA, School of Electrical and Computer Engineering—FEEC, University of Campinas— UNICAMP, São Paulo, Brazil Okyay Kaynak, Department of Electrical and Electronic Engineering, Bogazici University, Istanbul, Turkey Derong Liu, Department of Electrical and Computer Engineering, University of Illinois at Chicago, Chicago, USA; Institute of Automation, Chinese Academy of Sciences, Beijing, China Witold Pedrycz, Department of Electrical and Computer Engineering, University of Alberta, Alberta, Canada; Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland Marios M. Polycarpou, Department of Electrical and Computer Engineering, KIOS Research Center for Intelligent Systems and Networks, University of Cyprus, Nicosia, Cyprus Imre J. Rudas, Óbuda University, Budapest, Hungary Jun Wang, Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong
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G. Ranganathan Joy Chen Álvaro Rocha •
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Editors
Inventive Communication and Computational Technologies Proceedings of ICICCT 2020
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Editors G. Ranganathan Department of Electronics and Communication Engineerin
