Recombining Features of Frequency Domain and Location for Machine Recognition of Sign Language
In this article, a system for recognizing Persian sign language alphabets is presented. This system is able to recognize 32 hand postures for Persian alphabets and translate it into Persian text. For this purpose, images of hand positions have been considered for each letter of the alphabet. The dat...
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| Main Author: | |
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| Format: | Article |
| Language: | fas |
| Published: |
Islamic Azad University Bushehr Branch
2024-02-01
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| Series: | مهندسی مخابرات جنوب |
| Subjects: | |
| Online Access: | https://sanad.iau.ir/journal/jce/Article/869968 |
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