A system for identifying latent fingerprints. Created at Michigan State University by Anil K. Jain, Kai Cao, Dinh-Luan Nguyen, and Cori Tymoszek.

OpenAFIS: High performance C++ fingerprint matching library

This project takes in an image of a finger, then preprocesses this input image to extract the fingerprint and using SIFT, checks if this fingerprint is already present in the database.

Fingerprint recognition with OpenCV

5ELG is a browser fingerprinting tool designed to collect and analyze data about a user's browser and environment through various modules called "dealers."

In this Project we build fingerprint matching system that leverages a Siamese network to achieve accurate and efficient Fingerprint identification. The system consists of three main stages: image preprocessing, feature extraction, and matching.

Fingerprint minutiae extraction + ORB descriptor: A new method for fingerprint matching

Fingerprints Matching

Fingerprint Matching WinForms Application using minutiae features.

CSL7360 Course Project Repository