Software-based Malaysian sign language recognition
This work presents the development of a software-based Malaysian Sign Language recognition system using Hidden Markov Model. Ninety different gestures are used and tested in this system. Skin segmentation based on YCbCr colour space is implemented in the sign gesture videos to separate the face and...
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| Main Authors: | , , , , , |
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| Format: | Book |
| Language: | English |
| Published: |
Springer, Berlin, Heidelberg
2013
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| Online Access: | https://eprints.ums.edu.my/id/eprint/15017/1/Software.pdf https://eprints.ums.edu.my/id/eprint/15017/ http://dx.doi.org/10.1007/978-3-642-32063-7_31 |
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