What is it about?
In this study, a segmentation method is proposed for different bent arm shapes based on image processing. The method can resolve the problem of multiple skin and skin-like regions in an image, effectively segment different bent arm shapes, and accurately recognize all 26 individual English letters.
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Why is it important?
We define a method for segmenting different arms in sign language recognition systems using image processing. This is important in sign language images in a complex background with different arms.
Perspectives
Writing this article was a great pleasure as it has co-authors with whom I have had long standing collaborations.
Qiuhong Tian
Zhejiang Sci-Tech University
Read the Original
This page is a summary of: Improving arm segmentation in sign language recognition systems using image processing, Technology and Health Care, May 2021, IOS Press,
DOI: 10.3233/thc-192000.
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