A Gaussian Process Upsampling Model for Improvements in Optical Character Recognition
| العنوان: | A Gaussian Process Upsampling Model for Improvements in Optical Character Recognition |
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| المؤلفون: | Dongwook Lee, Kunal Verma, Steven I. Reeves, Anurag Singh |
| المصدر: | Advances in Visual Computing ISBN: 9783030645588 ISVC (2) |
| بيانات النشر: | Springer International Publishing, 2020. |
| سنة النشر: | 2020 |
| مصطلحات موضوعية: | Computer science, business.industry, media_common.quotation_subject, Low resolution, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Process (computing), Pattern recognition, Optical character recognition, computer.software_genre, Image (mathematics), Upsampling, symbols.namesake, ComputingMethodologies_DOCUMENTANDTEXTPROCESSING, symbols, Key (cryptography), Quality (business), Artificial intelligence, business, Gaussian process, computer, media_common |
| الوصف: | The automatic evaluation and extraction of financial documents is a key process in business efficiency. Most of the extraction relies on the Optical Character Recognition (OCR), whose outcome is dependent on the quality of the document image. The image data fed to the automated systems can be of unreliable quality, inherently low-resolution or downsampled and compressed by a transmitting program. In this paper, we illustrate a novel Gaussian Process (GP) upsampling model for the purposes of improving OCR process and extraction through upsampling low resolution documents. |
| ردمك: | 978-3-030-64558-8 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::4d2485a942329b4ae268d5a924e85832 https://doi.org/10.1007/978-3-030-64559-5_20 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi...........4d2485a942329b4ae268d5a924e85832 |
| قاعدة البيانات: | OpenAIRE |
| ردمك: | 9783030645588 |
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