Abstract
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.
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Tymchenko, O., Havrysh, B., Khamula, O., Tymchenko, O.O., Vasiuta, S. (2021). Geometric Distortion Correction Technique of Text Images. In: Shakhovska, N., Medykovskyy, M.O. (eds) Advances in Intelligent Systems and Computing V. CSIT 2020. Advances in Intelligent Systems and Computing, vol 1293. Springer, Cham. https://doi.org/10.1007/978-3-030-63270-0_67
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