Dan-WU / Fingerprint-Enhancement-Python

Using oriented gabor filters to enhance fingerprint images

Fingerprint-Enhancement-Python

Uses oriented gabor filter bank to enhance the fingerprint image. The orientation of the gabor filters is decided by the orientation of ridges in the input image.

Results

Running the tests

1. go into the src folder

2. run the following command:

python main_enhancement.py

3. The sample images are stored in the "images" folder

4. The enhanced image will be stored in the "enhanced" folder

Theory

• We use oriented gabor filters to enhance a fingerprint image. The orientation of the gabor filters are based on the orientation of the ridges. the shape of the gabor filter is based on the frequency and wavelength of the ridges.

License

• This project is licensed under the BSD 2 License - see the LICENSE.md file for details

Acknowledgements

• This program is based on the paper: Hong, L., Wan, Y., and Jain, A. K. 'Fingerprint image enhancement: Algorithm and performance evaluation'. IEEE Transactions on Pattern Analysis and Machine Intelligence 20, 8 (1998), pp 777-789.

• The author would like to thank Dr. Peter Kovesi (This code is a python implementation of his work)