2021年7月6日 · This dataset contains 18,504 images of English and Arabic documents with ground truth for use in OCR benchmarking. It consists of two collections, "Old Books" (English) …

2021年10月20日 · Learn to use Python to denoise images and get better OCR accuracy. Many times noise in your images is hurting your OCR. This tutorial will show you how to remove that …

2021年7月15日 · We propose a novel robust training framework which 1) employs simple but effective methods to directly simulate natural OCR noises from clean texts and 2) iteratively …

In this paper, we propose an approach that automatically selects suitable document pre-processing algorithms to increase OCR performances. We first provide an experimental …

Enhancing text extraction from noisy images involves employing advanced image processing techniques, including noise reduction, contrast enhancement, and optical character recognition …

2024年3月5日 · In this paper, we combine deep learning with image preprocessing to investigate noisy document images. Specifically, we implement an OCR system that can deal with photo …

2020年8月26日 · Poor resolution and noise is one of the most important among these problems. Using the appropriate interpolation to smoothen the image to improve its quality will help …

2024年10月3日 · Figure 8 shows the enhanced images generated for a sample noisy image in the Noisy OCR dataset and the predicted text using Tesseract OCR. The noisy image has …

Noise removal is one of the steps in pre-processing. Among other things, noise reduces the accuracy of subsequent tasks of OCR (Optical character Recognition) systems. It can appear …

We present our new masking formulation for improving OCR results on noisy documents. • We present a U-Net architecture and training methodology, and demonstrate its usefulness for text …