magicalfish / walking-to-singular-points-of-fingerprints

Walking to Singular Points of Fingerprints

It's the python implementation of paper Zhu, En & Guo, Xifeng & Yin, Jianping. (2016). Walking to Singular Points of Fingerprints. Pattern Recognition. 56. 10.1016/j.patcog.2016.02.015.

Requirements

Opencv, numpy and scipy

Usage

Put your images in test_images directory and check results in results directory. Make changes in line-24 and line-42 of example.py accordingly!

...
#line-24 is
im = cv2.imread('img_path',0)
...

...
#line-42 is
cv2.imwrite('path_to_save_img.ext', stacked_img) # ext = png, jpg, bmp, tif
...

Then run the following command in terminal

python example.py

Result

Resources

Ridge Orient and Ridge Segment functions are taken from github repo Fingerprint-Enhancement-Python written by Utkarsh Deshmukh. The other functions are python implementation of Peter Kovesi's matlab functions.

License

For ridge_orient.py and ridge_segment

BSD 2-Clause License

Copyright (c) 2017, Utkarsh-Deshmukh

All rights reserved.

Acknowledgements

The author would like to thank Dr. Peter Kovesi (This code is a python implementation of his work). The author would also like to thank Mr. Nagasai Bharat for his contribution on code structuring.