Hand Gesture Recognition using CRF
| Author(s) | : | Ragini Deshmukh, Mr.Sheshang D. Degadwala, Mrs.Kishori S. Shekokar |
| Institution | : | ME Student Computer Department, Sigma Institute of Engineering |
| Published In | : | Vol. 4, Issue 13 — January 2017 |
| Page No. | : | - |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
During past few years, human hand gesture for interaction with computing devices has continuesto be thriving area of research. Hand Gesture Recognition system received great attention in recent yearsbecause it provides human computer interaction and sign language. Hand Gesture Recognition is containedthree stages: Pre-processing, Feature Extraction and Classification. Most current approach is based on thestatic hand gesture recognition Hand gesture recognition is often too sensitive to poor resolution,environment of background, occlusion among other prevalent problems and recognition dynamic handgesture. In existing approach is based on the static hand gesture recognition. So, proposed work investigatesdynamic hand gesture recognition using Conditional Random Field. The experiment result shows the statichand gesture recognition and dynamic hand gesture recognition.
Ragini Deshmukh, Mr.Sheshang D. Degadwala, Mrs.Kishori S. Shekokar, “Hand Gesture Recognition using CRF”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 13, pp. -, January 2017.
