Abstract
This work describes a hand gesture recognition system using an optimized Image Processing-Fuzzy C-Means (FCM) algorithm. The parameters of the image processing and clustering algorithm were simultaneously found using a neighborhood parameter search routine, resulting in solutions within 1-2% of optimal. Comparison of user dependent and user independent systems, when tested with their own trainers, resulted in recognition accuracies of 98.9% and 98.2%, respectively. For experienced users, the opposite was true, testing recognition accuracies where better for user independent than user dependent systems (98.2% over 96.0%). These results are statistically significant at the .007 level.
| Original language | English |
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| Pages | 341-344 |
| Number of pages | 4 |
| State | Published - 17 Dec 2003 |
| Event | Proceedings: 2003 International Conference on Image Processing, ICIP-2003 - Barcelona, Spain Duration: 14 Sep 2003 → 17 Sep 2003 |
Conference
| Conference | Proceedings: 2003 International Conference on Image Processing, ICIP-2003 |
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| Country/Territory | Spain |
| City | Barcelona |
| Period | 14/09/03 → 17/09/03 |
ASJC Scopus subject areas
- Hardware and Architecture
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering