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fingerprints-unam-colab
Advanced tools
This project uses simple image processing operations to extract finger and hand impressions from white paper sheets. It's intended to be used as an auxiliary tool for forensics research at UNAM.
The latest stable version can be downloaded from the PyPI. A development and a (relatively) stable version are available (latest release). A simple wxPython GUI is currently available (demo). High-level analysis on the extracted fingerprints is currently in the works.
The code is written in Python 3, and it relies on OpenCV, SciPy and scikit-image:
Dependencies are automatically managed by pip
.
Important (Linux users): wxPython can take a while to compile. It may be best to install wxPython system-wide before calling pip
.
To download, you can simply create a virtualenv
and install the project with pip
:
pip install fingerprints-unam-colab
The fingerprint extraction script can be executed with the following command:
extract_fp path_to_input_image path_to_output_folder
where:
path_to_input_image
is the path to the image file containing the fingerprints to be extracted.path_to_output_folder
is the path to the folder where the results will be stored (may be empty or not).The wxPython GUI can be executed with the following command:
fp_unam
A configuration file will be created in the user's home folder after the initial execution.
The extraction algorithm works as follows:
Note: Most of the logic to manage connected components as independent regions is enconded in a Region class (in regions.py
).
See also the list of contributors who participated in this project.
This project is licensed under the GNU/GPL3 License - see the LICENSE.md file for details
FAQs
Extraction of fingerprint and palm data from grayscale images.
We found that fingerprints-unam-colab demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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