https://github.com/filiplangiewicz/fingerprints

🕵️‍♂️ Detection and filtering of fingerprint minutiae
https://github.com/filiplangiewicz/fingerprints

detection fingerprint-authentication python

Last synced: 4 months ago
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🕵️‍♂️ Detection and filtering of fingerprint minutiae

• Host: GitHub
• URL: https://github.com/filiplangiewicz/fingerprints
• Owner: FilipLangiewicz
• Created: 2025-05-10T16:10:10.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2025-08-03T18:10:03.000Z (10 months ago)
• Last Synced: 2025-08-03T20:19:11.017Z (10 months ago)
• Topics: detection, fingerprint-authentication, python
• Language: Jupyter Notebook
• Homepage:
• Size: 4.13 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Fingerprint Thinning and Minutiae Detection

This project implements fingerprint image processing techniques to extract minutiae (ridge endings and bifurcations) from grayscale fingerprint images. It includes thinning algorithms, post-processing, and minutiae detection and filtering.

## Features

- **Thinning Algorithms**

  - `KMM`: An iterative thinning method for preserving ridge structure.

  - `Morphology`: A simpler morphological thinning method.

- **Post-Processing**

  - Corrects the original binary image and thinning result using morphological operations.

- **Minutiae Detection**

  - Identifies ridge endings and bifurcations.

  - Filters out closely spaced or redundant minutiae with similar directions.

- **Visualization**

  - Provides visualization of binary image, thinning result, detected minutiae, and corrected minutiae.

## File Structure

- `main.py`: Main script to run the processing pipeline.

- `utils/`: Helper functions for thinning, filtering, and visualization.

- `data/`: Folder to store fingerprint images.