Using Kernel Estimator and K-Mean Clustering Approach to Hand Gesture Recognition
Section: Research Paper
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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A. Mitras, B., بان, Mahmood Mohammed, A., & آلاء. (2025). Using Kernel Estimator and K-Mean Clustering Approach to Hand Gesture Recognition. AL-Rafidain Journal of Computer Sciences and Mathematics, 10(1), 137–145. Retrieved from https://rjps.uomosul.edu.iq/index.php/csmj/article/view/19527