A Hand Gesture Recognition using Feature Extraction

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.