A Region Finding Method to Remove the Noise from the Images of the Human Hand Gesture Recognition System

被引：0

作者：

Khan, Muhammad Jibran ^{[1
]}

Mahmood, Waqas ^{[2
]}

机构：

[1] Iqra Univ Karachi, State Bank Pakistan, Dept Comp Sci, Karachi, Pakistan

[2] State Bank Pakistan, NUCES FAST Pakistan, Karachi, Pakistan

来源：

EIGHTH INTERNATIONAL CONFERENCE ON MACHINE VISION (ICMV 2015) | 2015年 / 9875卷

关键词：

filters; noise; image processing; gesture recognition;

D O I：

10.1117/12.2228517

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The performance of the human hand gesture recognition systems depends on the quality of the images presented to the system. Since these systems work in real time environment the images may be corrupted by some environmental noise. By removing the noise the performance of the system can be enhanced. So far different noise removal methods have been presented in many researches to eliminate the noise but all have its own limitations. We have presented a region finding method to deal with the environmental noise that gives better results and enhances the performance of the human hand gesture recognition systems so that the recognition rate of the system can be improved.

引用

页数：8

共 22 条

[1] [Anonymous], 2008, DIGITAL IMAGE PROCES
[2] [Anonymous], 2010, 17 INT C SYST SIGN I
[3] [Anonymous], INSTR MEAS TECHN C I
[4] Basilio Jorge Alberto Marcial, 2011, Applications of Mathematics and Computer Engineering. American Conference on Applied Mathematics (AMERICAN-MATH'11). 5th WSEAS International Conference on Computer Engineering and Applications (CEA'11), P123
[5] An adaptive real-time skin detector based on Hue thresholding: A comparison on two motion tracking methods
Dadgostar, Farhad
Sarrafzadeh, Abdolhossein
[J]. PATTERN RECOGNITION LETTERS, 2006, 27 (12) : 1342 - 1352
[6] Deller M, 2006, INFORMATION VISUALIZATION-BOOK, P563
[7] Elmezain Mahmoud, 2010, Proceedings of the 2010 20th International Conference on Pattern Recognition (ICPR 2010), P3850, DOI 10.1109/ICPR.2010.938
[8] Vision-based hand pose estimation: A review
Erol, Ali
Bebis, George
Nicolescu, Mircea
Boyle, Richard D.
Twombly, Xander
[J]. COMPUTER VISION AND IMAGE UNDERSTANDING, 2007, 108 (1-2) : 52 - 73
[9] Gupta G., 2011, International Journal of Soft Computing and Engineering (IJSCE), V1, P304
[10] Hardenberg C. v., 2001, WORKSH PERC US INT, P1

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