Information Technology Development in Correction Method of Geometric Distortions of Text Images
| Autor: | Bohdana Havrysh, Svitlana Vasiuta, Oleksandr Tymchenko, Oleksandr O. Tymchenko, Orest Khamula, Bohdan Kovalskyi |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
business.industry
Computer science Perspective (graphical) ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Information technology Type (model theory) Image (mathematics) Nonlinear distortion Distortion ComputingMethodologies_DOCUMENTANDTEXTPROCESSING Preprocessor Development (differential geometry) Computer vision Artificial intelligence business |
| Zdroj: | 2020 IEEE 15th International Conference on Computer Sciences and Information Technologies (CSIT). |
| DOI: | 10.1109/csit49958.2020.9321890 |
| Popis: | The rapid distribution of digital cameras has caused several new problems related to text recognition. Based on experimental studies, was revealed that existing OCR systems cannot cope with complex perspective and geometric distortions that arise during photographing text document. Therefore, it is necessary to apply text documents preprocessing, so the text lines were straight and horizontal. This article briefly considers the methods document pre-processing, and found that it depends on the type of distortion and is not universal. We proposed information technology and a new method involving the mathematical raising of straightened text lines on the image and heterogeneous distortion correction based on a page surface transformation model. This technology is more reliable than others as it is universal and corrects any type of distortion, including a combination of several types of distortion. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|