its just recognize you fingerprint using python by dreadraze
Requirements:
- NumPy
- SKimage
- OpenCV2
Use the package manager pip to install foobar.
pip install Numpypython -m pip install -U scikit-imagepip install opencv-pythonWorks by extracting minutiae points using harris corner detection. Usage:
- Place 2 fingerprint images that you want to compare inside the database folder
- Pass the names of the images as arguments in the console
NOTE: the fingerprints must be in the /database folder
docker build -t <name_of_your_choice> .
docker run -it <name_of_your_choice> <fingerprint_1> <fingerprint_2>Special thanks to https://github.com/Utkarsh-Deshmukh/Fingerprint-Enhancement-Python for providing a library used to enhance the fingerprint picture.
MIT License
Copyright (c) 2023 ARUN KUMAR.
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.