تقرير
A Gaussian Process Upsampling Model for Improvements in Optical Character Recognition
| العنوان: | A Gaussian Process Upsampling Model for Improvements in Optical Character Recognition |
|---|---|
| المؤلفون: | Reeves, Steven I, Lee, Dongwook, Singh, Anurag, Verma, Kunal |
| سنة النشر: | 2020 |
| المجموعة: | Computer Science Statistics |
| مصطلحات موضوعية: | Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning, Statistics - Machine Learning |
| الوصف: | 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. Comment: 12 pages, 7 figures, 1 table |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2005.03780 |
| رقم الأكسشن: | edsarx.2005.03780 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |