Proceedings of the 3rd International Conference on Mechatronics, Robotics and Automation

Algorithm Design of Gesture Word Recognition Based on Vision

Authors
Yanling Zhang, Zhengqiang Yang, Yunfeng Wang
Corresponding Author
Yanling Zhang
Available Online April 2015.
DOI
https://doi.org/10.2991/icmra-15.2015.61How to use a DOI?
Keywords
gesture word recognition; threshold; gesture segmentation; centroid location; extreme algorithm
Abstract
Through the analysis and process of visual images of gesture words, this paper realizes the recognition of the gesture words, and this will lay a good foundation to recognize gesture language. Firstly the acquired images are preprocessed by denoising; secondly the gesture images are segmented from the background images by setting their thresholds, and the outline of the gesture images information is obtained under morphology operations; thirdly by extracting centroid coordinates of the target gestures, the gesture images are positioned and segmented; in the end, the gesture words can be identified by calculating the extreme values to the modules. The above algorithm is validated through the Matlab software. The experimental results show that the algorithm is reliable and has good robustness.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
3rd International Conference on Mechatronics, Robotics and Automation
Part of series
Advances in Computer Science Research
Publication Date
April 2015
ISBN
978-94-62520-76-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/icmra-15.2015.61How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Yanling Zhang
AU  - Zhengqiang Yang
AU  - Yunfeng Wang
PY  - 2015/04
DA  - 2015/04
TI  - Algorithm Design of Gesture Word Recognition Based on Vision
BT  - 3rd International Conference on Mechatronics, Robotics and Automation
PB  - Atlantis Press
SP  - 307
EP  - 310
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmra-15.2015.61
DO  - https://doi.org/10.2991/icmra-15.2015.61
ID  - Zhang2015/04
ER  -