A Gaussian Process Upsampling Model for Improvements in Optical Character Recognition

Steven I Reeves; Dongwook Lee; Anurag Singh; Kunal Verma

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arXiv · 2005.03780

A Gaussian Process Upsampling Model for Improvements in Optical Character Recognition

Steven I Reeves·Dongwook Lee·Anurag Singh·Kunal Verma

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Abstract

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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Steven I Reeves, Dongwook Lee, Anurag Singh, Kunal Verma. 2020-05-07. A Gaussian Process Upsampling Model for Improvements in Optical Character Recognition. https://arxiv.org/abs/2005.03780

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