Signer-independence finger alphabet recognition using discrete wavelet transform and area level run lengths
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- 作者：Kanjana Pattanaworapana ; kanjana.pa@bu.ac.th" class="auth_mail" title="E-mail the corresponding author ; Kosin Chamnongthaia ; kosin.cha@kmutt.ac.th" class="auth_mail" title="E-mail the corresponding author ; Jing-Ming Guob ; jmguo@seed.net.tw" class="auth_mail" title="E-mail the corresponding author
- 关键词：Sign language recognition ; Finger alphabet recognition ; Discrete wavelet transform ; Sign grouping ; Signer independence ; Run length algorithm ; Sign speaking system
- 刊名：Journal of Visual Communication and Image Representation
- 出版年：2016
- 出版时间：July 2016
- 年：2016
- 卷：38
- 期：Complete
- 页码：658-677
- 全文大小：4666 K
文摘
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Mobile Sign Language Recognition (SLR) system from backhand view is proposed.
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Signs are divided into two groups and applied appropriate tools for each group.
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Combination between 1D signal and DWT is used to differentiate fist signs.
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Block mask and quantized area distribution precisely recognize non-fist signs.
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