Fingerprint-Minutiae-Extraction

Summary

This project was forked from fingerprint_recognition

How to run

Install requirements

pip install -r requirements.txt

Run fingerprint-minutiae-extraction code

python main.py

Stages of the Fingerprint-Minutiae-Extraction Algorithm

The performance of minutiae extraction algorithms and other fingerprint recognition techniques relies heavily on the quality of the fingerprint images, and thus, pre-processing is a very important step.

The stages of pre-processing are as follows:

• Grayscale Transformation

• Image Normalization

• Segmentation

• Directional Map

• Frequency Map

• Gabor's Filtering

• Skeletonization

• Minutiae Detection

• Singularity Detection

Dataset

Dataset used for this project can be found here.

Results

The output images contain result of each pre-processing step.