Research Article
A Model for Qur’anic Sign Language Recognition Based on Deep Learning Algorithms
Table 3
Number of images available in the ArSL dataset for selected gestures.
| | Gesture | Samples no. | Gesture | Samples no. | Gesture | Samples no. | Total |
| | Classes | Alif (ألف – أ) | 287 | Tah (طاء – ط) | 226 | Mim (ميم – م) | 253 | 766 | | Ha (حاء – ح) | 246 | Ayn (عين – ع) | 244 | Non (نون – ن) | 237 | 727 | | Ra (راء – ر) | 227 | Qaf (قاف – ق) | 219 | Haa (هاء – هـ) | 253 | 699 | | Sin (سين – س) | 266 | Kaf (كاف – ك) | 264 | Ya (ياء – ي) | 272 | 802 | | Sad (صاد – ص) | 270 | Lam (لام – ل) | 260 | | | 530 | | Total | 5 classes | 1296 | 5 classes | 1213 | 4 classes | 1015 | 3524 |
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