Study Neural Model for Recognition of Ancient Turkic Orkhon Runes

More than three hundred Turkic runic inscriptions were discovered in various regions of Central Asia and adjacent regions. Although a significant number of Turkic-runic manuscripts have been read, there are still many undeciphered Turkic manuscripts. There are also many controversial deciphered Turkic manuscripts. Therefore, using automatic text recognition systems for ancient Turkic manuscripts is relevant. An urgent problem is the development of neural models for recognizing texts of ancient Turkic Orkhon runes. This research focuses on developing and implementing a computational approach for recognizing Ancient Turkic Runic Orkhon inscriptions. In response to these challenges, this study presents a framework employing advanced image processing and machine learning techniques to efficiently and reliably recognize Orkhon runic inscriptions.