Research Article
A Model for Qur’anic Sign Language Recognition Based on Deep Learning Algorithms
Table 2
Number of images available in the ArSL2018 dataset for selected gestures.
| | Gesture | Samples no. | Gesture | Samples no. | Gesture | Samples no. | Total |
| | Classes | Alif (ألف – أ) | 1672 | Tah (طاء – ط) | 1816 | Mim (ميم – م) | 1838 | 5326 | | Ha (حاء – ح) | 1526 | Ayn (عين – ع) | 2114 | Non (نون – ن) | 1766 | 5406 | | Ra (راء – ر) | 1659 | Qaf (قاف – ق) | 1526 | Haa (هاء – هـ) | 1552 | 4737 | | Sin (سين – س) | 1638 | Kaf (كاف – ك) | 1672 | Ya (ياء – ي) | 1672 | 4982 | | Sad (صاد – ص) | 1895 | Lam (لام – ل) | 1791 | | | 3686 | | Total | 5 classes | 8390 | 5 classes | 8919 | 4 classes | 6828 | 24137 |
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