PROIE

A simple python script called PROIE (Palmprint Region Of Interest Extraction) forked from : Link to Project.

The method is proposed by Kekre et al. [1]. The original paper can be found in : Link to Paper

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Table of Contents

• Installation
• Built With
• Basic Usage
• Features
• Contributing
• References
• License

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Installation

Important : there is no need for installation.

In order to use it, you must follow these steps:

1. Clone the repository https://github.com/yyaddaden/PROIE,
2. Extract all the Python files,
3. Open the command line prompt,
4. Use it with the instructions below (see Basic Usage).

Built With

This projet is built using these technologies:

• Programming Language: Python
• Libraries:
  • OpenCV: https://opencv.org/
  • Matplotlib: https://matplotlib.org/
  • Numpy: https://github.com/numpy/numpy
• Code Editor: Microsoft Visual Studio Code

Important : the libraries listed above must be installed in order to use the script.

Basic Usage

In order to use the script, you have to edit the script example.py. The figure below show the obtained results (image from CASIA Palmprint Dataset) :

Features

This Python script PROIE.py includes several methods:

1. The main method to extract the Region of Interest : extract_roi(path_in_img, rotate=False),
2. Displaying the obtained results as in the figure above : show_result(),
3. Saving the extacted Region of Interest : save(path_out_img).

Contributing

In order to contribue to this projet, there are two options :

• Option 1 : 🍴 Fork this repo or check the original project https://github.com/safwankdb/Effectual-Palm-RoI-Extraction
• Option 2 : 👯 Clone this repo to your local machine using https://github.com/yyaddaden/PROIE.git

References

[1] Kekre, H. B., Sarode, T., & Vig, R. (2012, October). An effectual method for extraction of ROI of palmprints. In 2012 International Conference on Communication, Information & Computing Technology (ICCICT) (pp. 1-5). IEEE.

License