Arabic Sign language Recognition using Radial Signature and Dynamic Time Warping
Journal of ACS Advances in Computer Science · 2013
Deaf communities face daily troubles communicating with others in society. A link betweenthe communication with sign language and natural language is needed to facilitate the lifeof the deaf community. This paper, proposes a methodology based on image processing anddynamic time warping to translate the deaf signs to natural language. The technique basedon radial signature as a feature extraction methodology and the dynamic time warping forthe classification of features vectors. The experimental results of the proposed algorithmindicated eighty percent of real-time recognition on sets of 5 letters.