Online Preprocessing of Gesture Signs Using Background Substructure and Edge Detection Algorithms

Farah Alkhalid (University of Technology, Iraq)

One of the important missions is to communicate with mute and deaf people, and listen to what they are need. The gesture sign is the first solution we can use to make connection between us, but this way has rules and basics, we should respect and be informed with, at the same time not all people can find the need to know how translate sign language, for this reason we proposed a model to translate sign language but before use the model we should make preprocessing to image in order to get accurate classification, in this paper, background subtraction and edge detection are used together to present image with high edge details and only gesture sign which is the region of interest, this work done using OpenCV in python3.

Conference: UKSim-AMSS 22nd International Conference on Computer Modelling and Simulation, UKSim2020

Published: Mar 25, 2020

DOI: 10.5013/IJSSST.a.21.02.02