Using Kernel Estimator and K-Mean Clustering Approach to Hand Gesture Recognition

Section: Research Paper
Published
Mar 5, 2013
Pages
137-145

Abstract

In this paper we used non parametric density estimator (Kernel Estimator) to estimate probability density function for Image data of Hand Gesture and warping Hand Gesture and we see the curve for Kernel Estimator and combine the curve between Kernel Estimator and normal Distribution. Programs written using the language Matlab (R2009a) .

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How to Cite

A. Mitras, B., & Mahmood Mohammed, A. (2013). Using Kernel Estimator and K-Mean Clustering Approach to Hand Gesture Recognition. AL-Rafidain Journal of Computer Sciences and Mathematics, 10(1), 137–145. https://doi.org/10.33899/csmj.2013.163447
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