Geometric Distortion Correction Technique of Text Images
| Autor: | Orest Khamula, Oleksandr Tymchenko, Bohdana Havrysh, Oleksandr O. Tymchenko, Svitlana Vasiuta |
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| Rok vydání: | 2020 |
| Předmět: |
Computer science
business.industry Distortion correction Perspective (graphical) ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Text recognition Type (model theory) Geometric distortion Image (mathematics) Distortion ComputingMethodologies_DOCUMENTANDTEXTPROCESSING Correction technique Computer vision Artificial intelligence business |
| Zdroj: | Advances in Intelligent Systems and Computing ISBN: 9783030632694 |
| DOI: | 10.1007/978-3-030-63270-0_67 |
| Popis: | The rapid distribution of digital cameras has caused several new problems related to text recognition. Based on experimental studies, it was revealed that existing OCR systems cannot cope with a complex perspective and geometric distortions that arise during photographing text documents. Therefore, it is necessary to apply text documents pre-processing, 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 geometric distortion, including a combination of several types of distortion. |
| Databáze: | OpenAIRE |
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