Abstract: | Ugaritic tablets excavated in Syria reveal important facts about Biblical peoples. Many thousand clay tablets with this form of cuneiform script have been discovered and more are still being unearthed. Reading these tablets is a massive task and some form of automation is desired. This project is concerned with implementing a character recognition of the Ugarit script. This has been implemented by developing code from a previous MSc project [Anthoni 94] to obtain input for a neural network. A background and backdrop elimination process was created.
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