User-independent recognition of Arabic sign language for facilitating communication with the deaf community
This paper presents a solution for user-independent recognition of isolated Arabic Sign language gestures. The video based gestures are preprocessed to segment out the hands of the signer based on color segmentation of the colored gloves. The prediction errors of consecutive segmented images are the...
محفوظ في:
| المؤلف الرئيسي: | Shanableh, Tamer (author) |
|---|---|
| مؤلفون آخرون: | Assaleh, Khaled (author) |
| التنسيق: | article |
| منشور في: |
2011
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| الموضوعات: | |
| الوصول للمادة أونلاين: | http://hdl.handle.net/11073/8830 |
| الوسوم: |
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مواد مشابهة
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Spatio-Temporal Feature-Extraction Techniques for Isolated Gesture Recognition in Arabic Sign Language
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