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.
|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||Proceedings: 2003 International Conference on Image Processing, ICIP-2003|
|Period||14/09/03 → 17/09/03|