Artificial Neural Network based Indian Sign Language Recognition using hand crafted features
作者： Purva Chaitanya Badhe , Vaishali Kulkarni
DOI: 10.1109/ICCCNT49239.2020.9225294
关键词:
摘要: Sign language is a medium of communication Divyangjans (Deaf and mute people). can be used for effective only if understood by both the people trying to communicate. When one person unaware meaning sign gestures an interpreter required who translate into spoken language. This article presents methodology recognize Indian Language (SL) them English. SL Recognition systems useful facilitating conversation. There are various developed researchers implementing recognition system. Being in its developing stage, grammar rules (ISL) not documented making process challenge. approach employs hand crafted feature extraction technique uses Artificial Neural Network classification gestures. The accuracy model achieved as high 98% using this methodology.
sci-hub.st 参考文章(25)
Tarek M. Mahmoud, A New Fast Skin Color Detection Technique World Academy of Science, Engineering and Technology, International Journal of Computer, Electrical, Automation, Control and Information Engineering. ,vol. 2, pp. 2354- 2358 ,(2008)
Feng-Sheng Chen, Chih-Ming Fu, Chung-Lin Huang, Hand gesture recognition using a real-time tracking method and hidden Markov models Image and Vision Computing. ,vol. 21, pp. 745- 758 ,(2003) , 10.1016/S0262-8856(03)00070-2
V. Adithya, P. R. Vinod, Usha Gopalakrishnan, Artificial neural network based method for Indian sign language recognition 2013 IEEE CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGIES. pp. 1080- 1085 ,(2013) , 10.1109/CICT.2013.6558259
Muhammad Aminur Rahaman, Mahmood Jasim, Md. Haider Ali, Md. Hasanuzzaman, Real-time computer vision-based Bengali Sign Language recognition computer and information technology. pp. 192- 197 ,(2014) , 10.1109/ICCITECHN.2014.7073150
Subhash Chand Agrawal, Anand Singh Jalal, Charul Bhatnagar, Recognition of Indian Sign Language using feature fusion 2012 4th International Conference on Intelligent Human Computer Interaction (IHCI). pp. 1- 5 ,(2012) , 10.1109/IHCI.2012.6481841
Robert Y. Wang, Jovan Popović, Real-time hand-tracking with a color glove international conference on computer graphics and interactive techniques. ,vol. 28, pp. 63- ,(2009) , 10.1145/1531326.1531369
Simon Haykin, Neural Networks: A Comprehensive Foundation ,(1998)
L.R. Rabiner, A tutorial on hidden Markov models and selected applications in speech recognition Proceedings of the IEEE. ,vol. 77, pp. 267- 296 ,(1989) , 10.1109/5.18626
D. Chai, K.N. Ngan, Face segmentation using skin-color map in videophone applications IEEE Transactions on Circuits and Systems for Video Technology. ,vol. 9, pp. 551- 564 ,(1999) , 10.1109/76.767122
V.I. Pavlovic, R. Sharma, T.S. Huang, Visual interpretation of hand gestures for human-computer interaction: a review IEEE Transactions on Pattern Analysis and Machine Intelligence. ,vol. 19, pp. 677- 695 ,(1997) , 10.1109/34.598226