Multi-touch fingertip recognition for smart surfaces

International Journal of Computer Science and Engineering
© 2016 by SSRG - IJCSE Journal
Volume 3 Issue 5
Year of Publication : 2016
Authors : Purvi Bansal

pdf
How to Cite?

Purvi Bansal, "Multi-touch fingertip recognition for smart surfaces," SSRG International Journal of Computer Science and Engineering , vol. 3,  no. 5, pp. 73-76, 2016. Crossref, https://doi.org/10.14445/23488387/IJCSE-V3I5P114

Abstract:

In today’s scenario a device is considered smart if it has the ability to sense touch. Everything that is considered to be modern technology involves the touch-screen surfaces, from mobile phones to laptops to advanced security system, touchscreens have replaced the primary input devices like keyboards and mouse. This technology leads to a smarter and easier way to get a task done. The touch-screen technology can be broadly classified as: Capacitive, Resistive and Imaging. Image processing touch screens are taken into account when touch sensing in larger devices is to be implemented. These can be implemented on a table top and may include object recognition. This paper elucidates a novel algorithm for fingertip recognition for multi touch screens.

Keywords:

Image processing touch-screen, multi touch, fingertip detection, tabletop computer, surface computers.

References:

[1] N. Mehta, “A flexible machine interface”, M.A.Sc. Thesis, Department of Electrical Engineering,University of Toronto supervised by Prof. K.C.Smith, J. C. Maxwell, A treatise on Electricity and Magnetism, 3rd ed., vol. 2. Oxford”Clarendon,1892, pp.68-73.
[2] J. Y. Han, “Low Cost Multi-Touch Sensing through Frustrated Total Internal Reflection.” in Proc. 18th Annual ACM Symp. User interface software and technology. Seattle, WA, USA, 2005.115-118 
[3] R. Chang, F. Wang, P. You, “A Survey on the Development of MultiTouch Technology”, in Proc. Wearable Computing systems(APWCS), 2010 Asia-Pacific Conference, Shenzhen pp.363-366. 
[4] Bayden R Wood, Keith R Bambery, Corey J Evans, Michael A Quinn, Don McNaughton, “A Three Dimensional Multivariate Image Processing Technique For the Analysis of FTIR Spectroscopi Images of Multiple Tissue Section”, BMC Medical Imaging, BMC Series 2006. 
[5] Prinkan Pal, Subramanya Vikas, Pavan Raju, “Implementation of Multiple Fingertip Blob Recognition on Image Processing Based TouchScreen for Surfaces”, in Proc. 2014 International ConferenceConfluence The Next Generation Information Technology Summit, Bengaluru, India, pp.-663-668. 
[6] Ashraf A Aly, Safaai Bin Deris, Nazar Zaki, “Research Review For Digital Image Segmentation Techniques”, in Proc. International Journal of Computer Science & Inforrmation Technology (IJCSIT) Vol 3, No.5 ,2011, pp.- 99-106 
[7] C.H. Tseng and Y. C. Wei, “Design and Implementation of the MultiTouch Tables”, in Proc. First Int. Conf. Robot, Vision and Signal Processing (RVSP), Kaohsiung, 2011, pp. 340-343. 
[8] Ajay Kumar Boyat, Brijendra Kumar Joshi, “A Reviw Paper: Noise Models In Digital Image Processing”, in Proc. An International Journal (SIPIJ) Vol.6, No.2. Signal & Image Processing. Pp.-63-75. 
[9] Ahsanullah, A. K. B. Mahmood, S. Sulaiman, “Investigation of fingertip blobs on optical multi-touch screen”, in Proc. 2010 Int. Symp. In Info. Tech. (ITSim), Volume-1, Kuala Lumpur, pp. 1-6. 
[10] S. Izadi, A. Agarwal, A. Criminisi, J.Winn, A. Blake and A. Fitzgibbon, “C-Slate: A Multi-Touch and Object Recognition System for Remote Collaboration using Horizontal Surfaces”, in Proc. Second Annu. IEEE Int. Workshop Interactive Human-Comput. Syst., 2007. TABLETOP ’07., Newport,RI,pp.-3-10.