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A Hand Gesture Recognition using Feature Extraction

Author : Ashis Pradhan, M.K.Ghose and Mohan Pradhan

Pages : 323-327
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Information communication between two peers can be done using various mediums. These mediums can be either linguistic or gestures. The development of procedure for realizing gestures into meaningful information plays a pivotal role in instances where linguistic feature cannot be taken as a basis and gestures can be used as the alternative for the conveying the same. This paper presents a very simple and efficient approach for recognizing the hand gesture that represents numbers from zero to nine. The work basically represents the active and in-active fingers with binary value 0 and 1 respectively, in different combination for representing different numbers. The method of representing the hand gesture in binary pattern contributes a lot for increasing the performance of classification process. The binary Support Vector Machine (SVM) is considered as a recognition tool.

Keywords: Information Communication, linguistic feature, hand gesture, binary pattern, support vector machine.


Article published in International Journal of Current  Engineering  and Technology, Vol.2,No.4 (Dec- 2012)





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