Parameter search for an image processing fuzzy C-means hand gesture recognition system

Juan Wachs, Helman Stern, Yael Edan

Research output: Contribution to conferencePaperpeer-review

11 Scopus citations

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 languageEnglish
Pages341-344
Number of pages4
StatePublished - 17 Dec 2003
EventProceedings: 2003 International Conference on Image Processing, ICIP-2003 - Barcelona, Spain
Duration: 14 Sep 200317 Sep 2003

Conference

ConferenceProceedings: 2003 International Conference on Image Processing, ICIP-2003
Country/TerritorySpain
CityBarcelona
Period14/09/0317/09/03

ASJC Scopus subject areas

  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

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