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GESTURE RECOGNITION SYSTEM
2015
International Journal of Research in Engineering and Technology
This paper presents a novel approach for the gesture recognition system using software. In this paper the real time image is taken and is compared with a training set of images and displays a matched training image. In this approach we have used skin detection techniques for detecting the skin threshold regions, Principle Component Analysis (PCA) algorithm and Linear Discriminant Analysis (LDA) for data compressing and analyzing and K-Nearest Neighbor (KNN), Support Vector Machine (SVM)
doi:10.15623/ijret.2015.0405019
fatcat:huzxscq7bvfljk3y6gsruzlyt4