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Degraded Quality Fingerprint Enhancement and Lost Minutiae Reconstruction

version 1.0.0.0 (1.02 MB) by Manu BN
A Matlab code for fingerprint enhancement and lost minutiae reconstruction

10 Downloads

Updated 27 Jan 2016

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A Matlab code is written for fingerprint enhancement and lost minutiae reconstruction for bad quality fingerprint images.
How to run??
1. Unzip and place the Enhancements folder in the path of Matlab, add the Dataset and contents to the path by right clicking on it.
2. Run Finger_Enhance.m and select a degraded fingerprint from the dataset
3. Compare figure1 with figure5

I have used the availabe Kovesi functions and others to complete this code.
The code is loosely based on the paper below, please cite and give credit to authors:
[1] Hong, Lin, Yifei Wan, and Anil Jain. "Fingerprint image enhancement: algorithm and performance evaluation." Pattern Analysis and Machine Intelligence, IEEE Transactions on 20.8 (1998): 777-789.
[2] Kovesi, Peter D. "MATLAB and Octave functions for computer vision and image processing." Online: http://www. csse. uwa. edu. au/~ pk/Research/MatlabFns/# match (2000).

Comments and suggestions are always welcome

Thanks in advance,

Manu B.N

Cite As

Manu BN (2019). Degraded Quality Fingerprint Enhancement and Lost Minutiae Reconstruction (https://www.mathworks.com/matlabcentral/fileexchange/55109-degraded-quality-fingerprint-enhancement-and-lost-minutiae-reconstruction), MATLAB Central File Exchange. Retrieved .

Comments and Ratings (10)

Thank you for that code

sai kumar

I am still getting the image with distrubances. please help me resolve it.

ali ahmed

thank very nice work

azkya novia

Manu BN

Thanks Aditya

Excellent ! Thanks a lot

Manu BN

@ali: Thanks for the rating

ali dabouei

great work! Thank you!
and if you have problem unzipping the file, just change ending ".zipx" to ".zip"
It works for me!

Manu BN

You have to use the latest version of winzip

Dipak Kumar

problem in zip file.

MATLAB Release Compatibility
Created with R2013a
Compatible with any release
Platform Compatibility
Windows macOS Linux