Sept. 30, 2022, 1:15 a.m. | Andreas Spruck, Maximiliane Hawesch, Anatol Maier, Christian Riess, Jürgen Seiler, André Kaup

cs.CV updates on arXiv.org arxiv.org

In this paper, we propose a data augmentation framework for Optical Character
Recognition (OCR). The proposed framework is able to synthesize new viewing
angles and illumination scenarios, effectively enriching any available OCR
dataset. Its modular structure allows to be modified to match individual user
requirements. The framework enables to comfortably scale the enlargement factor
of the available dataset. Furthermore, the proposed method is not restricted to
single frame OCR but can also be applied to video OCR. We demonstrate the …

3d rendering arxiv augmentation character recognition data framework optical character recognition

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