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A Gaussian Process Upsampling Model for Improvements in Optical Character Recognition
Steven I Reeves, Dongwook Lee, Anurag Singh, Kunal Verma · 2020-05-08 · via stat.ML updates on arXiv.org

Optical Character Recognition and extraction is a key tool in the automatic evaluation of documents in a financial context. However, the image data provided to automated systems can have unreliable quality, and can be inherently low-resolution or downsampled and compressed by a transmitting program. In this paper, we illustrate the efficacy of a Gaussian Process upsampling model for the purposes of improving OCR and extraction through upsampling low resolution documents.

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