Arabic Sign language Recognition using Radial Signature and Dynamic Time Warping | ||||
| Journal of the ACS Advances in Computer Science | ||||
| Article 5, Volume 7, Issue 1, 2013, Page 97-115 PDF (1.91 MB) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/asc.2013.158160 | ||||
 View on SCiNiTO | ||||
| Abstract | ||||
| Deaf communities face daily troubles communicating with others in society. A link between the communication with sign language and natural language is needed to facilitate the life of the deaf community. This paper, proposes a methodology based on image processing and dynamic time warping to translate the deaf signs to natural language. The technique based on radial signature as a feature extraction methodology and the dynamic time warping for the classification of features vectors. The experimental results of the proposed algorithm indicated eighty percent of real-time recognition on sets of 5 letters. | ||||
| Keywords | ||||
| Human Machine Interaction; Sign Language Recognition; Shape-Based Gesture Recognition; Radial Signature; Dynamic Time Warping | ||||
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