Abstract:In this paper, we consider the problem of evaluating character image generators that model distortions encountered in optical character recognition (OCR). While a number of such defect models have been proposed, the contention that they produce the desired result is typically argued in an ad hoc and informal way. We introduce a rigorous and more pragmatic de nition of when a model is accurate: we say a defect model is validated if the OCR errors induced by the model are indistinguishable from the errors encoun… Show more
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