metadata
tags:
- image-to-image
license: apache-2.0
About sbb_binarization
This is a CNN model for document image binarization. It can be
used to convert all pixels in a color or grayscale document image
to only black or white pixels. The main aim is to improve the
contrast between foreground (text) and background (paper) for
purposes of OCR. The model is based on a ResNet50-Unet model.
Results
In the DocEng’2021 Time-Quality Binarization Competition (paper), the model ranked 12 times under the top 8 of 63 methods, winning 2 tasks.
In the ICDAR 2021 Competition on Time-Quality Document Image Binarization (paper), the model ranked 2 times under the top 20 of 61 methods, winning 1 task.
For details, see sbb_binarization on GitHub.
Weights
We provide a saved model for Tensorflow2.
| Model | Downloads |
|---|---|
2021_03_09 |
saved_model |