https://github.com/srijanmukherjee/image-processing-ocr-assignment

Performs image smoothening, converting to binary image, generating skeleton of the image for OCR purpose
https://github.com/srijanmukherjee/image-processing-ocr-assignment

image-processing opencv

Last synced: 9 days ago
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Performs image smoothening, converting to binary image, generating skeleton of the image for OCR purpose

• Host: GitHub
• URL: https://github.com/srijanmukherjee/image-processing-ocr-assignment
• Owner: srijanmukherjee
• License: mit
• Created: 2023-10-20T11:47:18.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2023-10-23T12:22:39.000Z (about 1 year ago)
• Last Synced: 2023-10-24T12:35:17.163Z (about 1 year ago)
• Topics: image-processing, opencv
• Language: Python
• Homepage:
• Size: 115 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Image processing for OCR

Basic image processing (smoothening, binarizing, skeletonizing) before using image for OCR

## Instructions

```bash

# start virtual environment

python -m venv env

source ./env/bin/activate

# install dependencies

pip install -r requirements.txt

# run the code

python main.py 

# Example

python main.py --blur gaussian -k 7 -v dataset/English/E3.png 

# Run over all examples in the dataset

python experiment.py

```

> **NOTE:** 
 

> Minimum python version requirement: **3.10**

### Usage

```

usage: main.py [-h] [-v] [-b {average,gaussian,median,bilateral}] [-k KERNEL] [-o OUTPUT] image

positional arguments:

  image                 path to image

options:

  -h, --help            show this help message and exit

  -v, --verbose         Enable verbose output

  -b {average,gaussian,median,bilateral}, --blur {average,gaussian,median,bilateral}

                        Choose blurring techinque

  -k KERNEL, --kernel KERNEL

                        set kernel size (must be odd), the kernel will be set as (size x size)

  -o OUTPUT, --output OUTPUT

                        output directory

```

## What does it do?

- Apply image filtering technique to smoothen the image

    - Average blurring

    - Gaussian blurring

    - Median blurring

    - Bilateral blurring

- Convert into binary image

- Skeletonize the image

- Resize into 64x64 image

This example demonstrates some basic image processing techinques to be applied before we use the image for processing techniques like OCR.

## References

- https://pyimagesearch.com/2021/04/28/opencv-smoothing-and-blurring

- https://scikit-image.org/docs/stable/auto_examples/edges/plot_skeleton.html