Egyptian Hieroglyphs Segmentation with Convolutional Neural Networks

Egyptian Hieroglyphs Segmentation with Convolutional Neural Networks

The objective of this work is to show the application of a Deep Learning algorithm able to operate the segmentation of ancient Egyptian hieroglyphs present in an image, with the ambition to be as versatile as possible despite the variability of the image source. The problem is quite complex, the mai...

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Bibliographic Details
Main Authors: Tommaso Guidi, Lorenzo Python, Matteo Forasassi, Costanza Cucci, Massimiliano Franci, Fabrizio Argenti, Andrea Barucci
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Algorithms
Subjects:
deep learning
convolutional neural networks
image recognition
ancient Egyptian hieroglyphs
cultural heritage
Online Access:https://www.mdpi.com/1999-4893/16/2/79

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https://www.mdpi.com/1999-4893/16/2/79

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