Automatic Egyptian hieroglyph recognition by retrieving images as texts

Authors:
Morris Franken;Jan C. van Gemert
Affiliations:
Informatics Institute, Amsterdam, Netherlands;Informatics Institute, Amsterdam, Netherlands
Venue:
Proceedings of the 21st ACM international conference on Multimedia
Year:
2013

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Abstract

In this paper we propose an approach for automatically recognizing ancient Egyptian hieroglyph from photographs. To this end we first manually annotated and segmented a large collection of nearly 4,000 hieroglyphs. In our automatic approach we localize and segment each individual hieroglyph, determine the reading order and subsequently evaluate 5 visual descriptors in 3 different matching schemes to evaluate visual hieroglyph recognition. In addition to visual-only cues, we use a corpus of Egyptian texts to learn language models that help re-rank the visual output.