Improving the Accuracy of Tesseract 4.0 OCR Engine Using Convolution-Based Preprocessing

Improving the Accuracy of Tesseract 4.0 OCR Engine Using Convolution-Based Preprocessing

Optical Character Recognition (OCR) is the process of identifying and converting texts rendered in images using pixels to a more computer-friendly representation. The presented work aims to prove that the accuracy of the Tesseract 4.0 OCR engine can be further enhanced by employing convolution-based...

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Bibliographic Details
Main Authors: Dan Sporici, Elena Cușnir, Costin-Anton Boiangiu
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Symmetry
Subjects:
optical character recognition
convolution
tesseract
unsupervised learning
reinforcement learning
actor-critic model
Online Access:https://www.mdpi.com/2073-8994/12/5/715

Internet

https://www.mdpi.com/2073-8994/12/5/715

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