https://github.com/joeylr2042/document-blur-detection

Document blur detection based on Laplacian operator and text detection.
https://github.com/joeylr2042/document-blur-detection

blur-detection documents python text-detection

Last synced: about 1 year ago
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Document blur detection based on Laplacian operator and text detection.

• Host: GitHub
• URL: https://github.com/joeylr2042/document-blur-detection
• Owner: joeylr2042
• License: apache-2.0
• Created: 2021-10-21T04:36:28.000Z (over 4 years ago)
• Default Branch: main
• Last Pushed: 2021-10-25T15:45:26.000Z (over 4 years ago)
• Last Synced: 2025-03-31T22:41:27.886Z (about 1 year ago)
• Topics: blur-detection, documents, python, text-detection
• Language: Python
• Homepage:
• Size: 841 KB
• Stars: 5
• Watchers: 0
• Forks: 3
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Document Blur Detection

For general blurred image, using the variance of Laplacian operator is a good solution. But as for the blur detection of documents, especially for document images with blurred text, text detection should be used to detect blurred text area.

This package mainly depends on opencv and paddle, to install them with requirements.txt,

```python

pip install -r requirements

```

Inference model of PaddleOCR is used to detect text location. You can download the inference model with https://paddleocr.bj.bcebos.com/dygraph_v2.0/ch/ch_ppocr_mobile_v2.0_det_infer.tar. The text detection code in this project refers to the PaddleOCR project. If you want to get more information about PaddleOCR, you can go to https://github.com/PaddlePaddle/PaddleOCR to check it out.

To run `main.py`, use the following command.

```python

python ./main.py --image './text_blur.jpg' --thresh_v 300 --thresh_d 0.7

```

If you would like to blur document images, you can run `blur_ops.py` to simulate motion blur and Gaussian blur. Use the following command.

```python

python blur_ops.py --image_path './bean-license.png' --output_path './gaussian_blur.jpg' --blur_type 'gaussian blur'/'motion blur'

```

Some results:

![bean-license](https://github.com/JoeyLr/Document_Blur_Detection/blob/main/imgs/bean-license_t.png)![gaussian_blur](https://github.com/JoeyLr/Document_Blur_Detection/blob/main/imgs/gaussian_blur_t.png)

![motion_blur_h](https://github.com/JoeyLr/Document_Blur_Detection/blob/main/imgs/motion_blur_h_t.png)![motion_blur_v](https://github.com/JoeyLr/Document_Blur_Detection/blob/main/imgs/motion_blur_v_t.png)

![text_blur](https://github.com/JoeyLr/Document_Blur_Detection/blob/main/imgs/text_blur_t.jpg)