The week's pick
Reseach Article
Indian Sign Language Character Recognition using Neural Networks
| Recent Trends in Pattern Recognition and Image Analysis |
| Foundation of Computer Science USA |
| RTPRIA - Number 1 |
| May 2013 |
| Authors: Padmavathi. S, Saipreethy. M. S, Valliammai. V |
| 38e44695-acff-4e75-a50c-c421cdbdef0a |
Padmavathi. S, Saipreethy. M. S, Valliammai. V . Indian Sign Language Character Recognition using Neural Networks. Recent Trends in Pattern Recognition and Image Analysis. RTPRIA, 1 (May 2013), 40-45.
Abstract
Deaf and dumb people communicate among themselves using sign languages, but they find it difficult to expose themselves to the outside world. This paper proposes a method to convert the Indian Sign Language (ISL) hand gestures into appropriate text message. In this paper the hand gestures corresponding to ISL English alphabets are captured through a webcam. In the captured frames the hand is segmented and the neural network is used to recognize the alphabet. The features such as angle made between fingers, number of fingers that are fully opened, fully closed or semi closed and identification of each finger are used as input to the neural network. Experimentation done for single hand alphabets and the results are summarized.
References
- Justin K. Chen, Debabrata Sengupta, Rukmani Ravi Sundaram Vaishali. S. Kulkarni et al. , "Sign Language Gesture Recognition with Unsupervised Feature Learning", (IJCSE) International Journal on Computer Science and Engineering[Vol. 02,No. 03,560-565] ,2010.
- Vaishali S. Kulkarni, Dr. S. D. Lokhande, "Appearance Based Recognition of American Sign Language Using Gesture Segmentation", [Online].
- Mahmoud Elmezain, Ayoub Al-Hamadi, Bernd Michaelis "A Real-Time Capable System for Hand Gesture Recognition Using Hidden Markov Models in Stereo Colors Image SEq. ences", (IESK) Otto-von-Guericke-University Magdeburg Germany.
- Klimis Symeonidis, "Hand Gesture Recognition Using Neural Networks", August 23, 2000.
- Ilan Steinberg, Tomer M. London, Dotan Di Castro, "Hand Gesture Recognition in Images and Video", [Online].
- R. M. Arunachalam, M. Ashok Gowtham, and R. Aarthi ,"Identifying Fingertips for Human Computer Interaction", ISSN: 2079-2557 Science Academy Publisher, United Kingdom www. sciacademypublisher. com 1375, International Journal of Research and Reviews in Computer Science (IJRRCS) ,[Vol. 3, No. 1],. February 2012.
- Ravikiran J, Kavi Mahesh, Suhas Mahishi, Dheeraj R,Sudheender S, Nitin V Pujari, "Finger Detection for Sign Language Recognition", International Multi Conference of Engineers and Computer Scientists, Hong Kong, IIMECS 2009,March 2009.
- http://www. deaftravel. co. uk/signprint. php?id=27
- Henrik Jonsson, "Vision-based segmentation of hand regions for purpose of tracking gestures", MSc thesis, Department of Computer Science, Umea University, Sweden, December 2008.
- Rosalyn R Porle, Ali Chekima, Farrah Wong, G Sainarayanan, "Performance of Histogram-Based Skin Colour Segmentation for Arms Detection in Human Motion Analysis Application", published in World Academy Of Science, Engineering And Technology, Issue 28 April 2009, v52 page no 1269-1274.
- Murakami, Kouichi, and Hitomi Taguchi. "Gesture Recognition Using Recurrent Neural Networks. " In Proceedings of CHI'91 Human Factors in Computing Systems,237-242, 1991.
- Russell, Stuart, and Peter Norvig. Artificial Intelligence: A Modern Approach. Prentice Hall,NJ, 1995.
- Klimis Symeonidis," Hand Gesture Recognition Using Neural Networks", August 2000.
- R. K. Shangeetha,V. Valliammai,. Padmavathy, "Computer vision based approach for Indian sign language character recognition" in MVIP â December 2012.
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