Hand Gesture Recognition System for Numbers Using Thresholding
Author:
Publisher
Springer Berlin Heidelberg
Link
http://link.springer.com/content/pdf/10.1007/978-3-642-25734-6_139
Reference11 articles.
1. 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)
2. 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)
3. Bhuyan, M.K., Neog, D.R., Kar, M.K.: Hand Pose recognition using geometric features. IEEE (2011)
4. Vieriu, R.-L., Goraş, B., Goras, L.: On HMM static Hand Gesture Recognition. IEEE (2011)
5. 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)
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