A real-time hand-signs segmentation and classification system using fuzzy rule based RGB model and grid-pattern analysis

doi:10.1007/s11704-018-7082-4

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 Author(s): 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:

https://academic.hep.com.cn/fcs/EN/10.1007/s11704-018-7082-4
https://academic.hep.com.cn/fcs/EN/Y2018/V12/I6/1258

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