Abstract
An efficient human computer interaction is assuming utmost importance in our daily lives. Human beings can communicate mainly by vision and sound. Human can recognize the meaningful expressions of motion using hand gesture. Hand Gesture is the most important to exchange ideas, messages, thoughts etc among deaf and dumb people. This paper discusses a simple recognition algorithm that recognizes the numbers from 0 to 10 using thresholding. The overall algorithm has three main steps: image capture, apply threshold and recognizing the number. The assumption is made that user must wear color hand gloves.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Futane, P.R., Dharaskar, R.V.: “Hasta Mudra” An Interpretation Of Indian Sign Hand Gestures. In: 2011 3rd International Conference on Electronics Computer Technology (ICECT 2011), vol. 2, pp. V377–V380 (2011)
Bilal, S., et al.: Vision-based Hand Posture Detection and Recognition for Sign Language-A study. In: 2011 4th International Conference on Mechatronics (ICOM), Kuala Lumpur, Malaysia, May 17-19 (2011)
Bhuyan, M.K., Neog, D.R., Kar, M.K.: Hand Pose recognition using geometric features. IEEE (2011)
Vieriu, R.-L., Goraş, B., Goras, L.: On HMM static Hand Gesture Recognition. IEEE (2011)
Nimbarte, N.M., Mushrif, M.M.: Multi-Level Thresholding For Color Image Segmentation. In: 2010 Second International Conference on Computer Engineering and Applications, pp. 231–233 (2010)
Rokade, R., et al.: Hand Gesture Recognition by Thinning Method. In: International Conference on Digital Image Processing, pp. 284–287. IEEE (2009)
Elmezain, M., AI-Hamadi, A., Jorg, Appenrodt, Michaelis, B.: A Hidden Markov Model Based continuous gesture recognition system for Hand motion Trajectory. IEEE (2008)
Mitra, S.: Gesture Recognition: A survey. IEEE Transactions on Systems, Man, And Cybernetics—Part C: Applications And Reviews 37(3), 311–324 (2007)
Jinda-apiraksa, A., Pongstiensak, W., Kondo, T.: A Simple Shape-Based Approach to Hand Gesture Recognition
Ray Lockton Balliol College, Hand Gesture Recognition Using Computer Vision
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Swapna, B., Pravin, F., Dharaskar Rajiv, V. (2011). Hand Gesture Recognition System for Numbers Using Thresholding. In: Das, V.V., Thankachan, N. (eds) Computational Intelligence and Information Technology. CIIT 2011. Communications in Computer and Information Science, vol 250. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25734-6_139
Download citation
DOI: https://doi.org/10.1007/978-3-642-25734-6_139
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25733-9
Online ISBN: 978-3-642-25734-6
eBook Packages: Computer ScienceComputer Science (R0)