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Frontiers of Computer Science

Front. Comput. Sci.    2018, Vol. 12 Issue (6) : 1258-1260     https://doi.org/10.1007/s11704-018-7082-4
LETTER |
A real-time hand-signs segmentation and classification system using fuzzy rule based RGB model and grid-pattern analysis
Muhammad Aminur RAHAMAN1(), Mahmood JASIM1, Md.Haider ALI1, Tao ZHANG2, Md. HASANUZZAMAN1
1. Department of Computer Science and Engineering, University of Dhaka, Dhaka-1000, Bangladesh
2. Department of Automation, School of Information Science & Engineering, Tsinghua University, Beijing 100084, China
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Corresponding Authors: Muhammad Aminur RAHAMAN   
Just Accepted Date: 09 October 2017   Online First Date: 15 November 2018    Issue Date: 04 December 2018
 Cite this article:   
Muhammad Aminur RAHAMAN,Mahmood JASIM,Md.Haider ALI, et al. A real-time hand-signs segmentation and classification system using fuzzy rule based RGB model and grid-pattern analysis[J]. Front. Comput. Sci., 2018, 12(6): 1258-1260.
 URL:  
http://journal.hep.com.cn/fcs/EN/10.1007/s11704-018-7082-4
http://journal.hep.com.cn/fcs/EN/Y2018/V12/I6/1258
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Muhammad Aminur RAHAMAN
Mahmood JASIM
Md.Haider ALI
Tao ZHANG
Md. HASANUZZAMAN
1 Rahaman M A, Jasim M, Zhang T, Ali M H, Hasanuzzaman M. Realtime bengali and chinese numeral signs recognition using contour matching. In: Proceedings of the IEEE International Conference on Robotics and Biomimetics. 2015, 1215–1220
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4 Qiu-yu Z, Jun-chi L, Mo-yi Z, Hong-xiang D, Lu L. Hand gesture segmentation method based on YCBCR color space and K-means clustering. International Journal of Signal Processing, Image Processing and Pattern Recognition, 2015, 8(5): 105–116
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6 Rahaman M A, Jasim M, Ali M H, Hasanuzzaman M. Real-time computer vision based bengali sign language recognition. In: Proceedings of the 17th International Conference on Computer and Information Technology. 2014, 192–197
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7 Yasir F, Prasad P W C, Alsadoon A, Elchouemi A. Sift based approach on bangla sign language recognition. In: Proceedings of the 8th IEEE International Workshop on Computational Intelligence and Applications. 2015, 35–39
https://doi.org/10.1109/IWCIA.2015.7449458
8 Yasir R, Khan R A. Two-handed hand gesture recognition for bangla sign language using LDA and ANN. In: Proceedings of the 8th International Conference on Software, Knowledge, Information Management and Applications. 2014, 1–5
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9 Jasim M, Zhang T, Hasanuzzaman M. A real-time computer visionbased static and dynamic hand gesture recognition system. International Journal on Image and Graphics, 2014, 14(01n02): 1–19
10 Ayshee T F, Raka S A, Hasib Q R, Hossain M, Rahman R M. Fuzzy rule-based hand gesture recognition for bengali characters. In: Proceedings of the IEEE International Advance Computing Conference. 2014, 484–489
https://doi.org/10.1109/IAdCC.2014.6779372
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