Optical Character Recognition with a Neural Network Model for Printed

Abstract

Furthermore, historical texts are not passed down through the centuries in their entirety but rather contain lacunae and fragmentary words. This makes automatic post-correction more difficult on historical texts than on modern ones. We used two tools to create languageand even documentspecific recognition patterns (or so-called models) to recognize printed… (More)

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