论文标题
高斯流程提高采样模型，以改善光学特征识别
A Gaussian Process Upsampling Model for Improvements in Optical Character Recognition
论文作者
论文摘要
光学特征识别和提取是在财务环境中自动评估文档的关键工具。但是，提供给自动化系统的图像数据可能具有不可靠的质量，并且可以固有地是低分辨率的，也可以通过传输程序降采样和压缩。在本文中，我们说明了高斯流程上升模型的功效，以通过提高低分辨率文档来改善OCR和提取。
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.
