Hand gesture recognition using average background and logical heuristic equations

Authors

  • Hazem Khaled Mohamed Helwan University, Cairo
  • S. Sayed Department of Electronics, Communications and Computers Engineering, Helwan University, Cairo, Egypt Department of Electronic and Electrical Engineering, University College London, UK Egyptian Computer Emergency Response Team (EG-CERT), National Telecom Regulatory Authority (NTRA), Cairo
  • El Sayed Mostafa Helwan University, Cairo
  • Hossam Ali Helwan University, Cairo

DOI:

https://doi.org/10.24297/ijct.v11i5.1149

Keywords:

Image processing, Hand gesture, Average background, Logical heuristic equation, gesture detection, Computer vision

Abstract

This paper introduces a hand gesture recognition algorithm for Human Computer Interaction using real-time video streaming .The background subtraction technique is used to extract the ROI (Region Of Interest) of the hand. Fingertip is detected using logical heuristics equations that are applied on hand contour , convex hull and convexity defects points. A combination between background subtraction and logical heuristic technique that leads to more accurate results is introduced. Experimental results prove that the proposed algorithm improve the finger's tips detection by 52 % compared to the reference model.

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Author Biographies

Hazem Khaled Mohamed, Helwan University, Cairo

Department of Electronics, Communications and Computers Engineering

El Sayed Mostafa, Helwan University, Cairo

Department of Electronics, Communications and Computers Engineering

Hossam Ali, Helwan University, Cairo

Department of Electronics, Communications and Computers Engineering

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Published

2013-10-30

How to Cite

Mohamed, H. K., Sayed, S., Mostafa, E. S., & Ali, H. (2013). Hand gesture recognition using average background and logical heuristic equations. INTERNATIONAL JOURNAL OF COMPUTERS &Amp; TECHNOLOGY, 11(5), 2634–2640. https://doi.org/10.24297/ijct.v11i5.1149

Issue

Section

Research Articles