DocumentCode :
3662005
Title :
Banking security system using hand gesture recognition
Author :
Ashutosh Gupta;Yogesh Kumar;Sanal Malhotra
Author_Institution :
Department of ECE, Amity University Uttar Pradesh, Noida, India
fYear :
2015
fDate :
3/1/2015 12:00:00 AM
Firstpage :
243
Lastpage :
246
Abstract :
This paper presents hand gesture analysis for human-security system interaction. Hand gesture recognition consisted of five processes such as image acquisition, skin color information for recognizing hand gesture which is obtained from the arm region of the hand, background removal, canny edge detection and contour detection. This proposed system is used for the banking security and can be used for companies or at personal secured places for security purposes. We have evaluated an improved hand gesture recognition using web camera and successfully implemented a prototype for security in bank from robbery which is having a detection accuracy rate of 95.7%.
Keywords :
"Gesture recognition","Skin","Image edge detection","Security","Image color analysis","Cameras"
Publisher :
ieee
Conference_Titel :
Recent Developments in Control, Automation and Power Engineering (RDCAPE), 2015 International Conference on
Type :
conf
DOI :
10.1109/RDCAPE.2015.7281403
Filename :
7281403
Link To Document :
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