Using Kernel Estimator and K-Mean Clustering Approach to Hand Gesture Recognition
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 writt...
| الحاوية / القاعدة: | Al-Rafidain Journal of Computer Sciences and Mathematics |
|---|---|
| المؤلفون الرئيسيون: | , |
| التنسيق: | مقال |
| اللغة: | الإنجليزية |
| منشور في: |
Mosul University
2013-03-01
|
| الموضوعات: | |
| الوصول للمادة أونلاين: | https://csmj.mosuljournals.com/article_163447_2b47c2c50cb75450da3da937fe81e541.pdf |
| الملخص: | 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) . |
|---|---|
| تدمد: | 1815-4816 2311-7990 |
