OpenAFIS: High performance C++ fingerprint matching library
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Feb 12, 2022 - C++
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fingerprint-matching
Here are 12 public repositories matching this topic...
A system for identifying latent fingerprints. Created at Michigan State University by Anil K. Jain, Kai Cao, Dinh-Luan Nguyen, and Cori Tymoszek.
opensource tensorflow templates openmp feature-extraction parallel-programming minutiae afis latent-fingerprints fingerprint-matching
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Jan 7, 2022 - C++
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.
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Jul 18, 2020 - Python
This project presents a fingerprint matching system utilizing deep learning. It features multiple models, including VGG-based, SENet, CBAM, Self-Attention, and Dual-Attention architectures. Pre-trained MobileNet models with Self-Attention and SENet are also included. A web application allows for easy demonstration of the model's capabilities.
python fingerprint render artificial-intelligence biometrics pattern-recognition vgg16 vgg19 senet self-attention cbam fingerprint-matching efficientnet streamlit dual-attention-network
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May 24, 2025 - Python
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.
random machine-learning-algorithms keras convolutional-neural-networks siamese-network train-test-using-sklearn fingerprint-matching
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Jul 21, 2023 - Jupyter Notebook
Fingerprint recognition with OpenCV
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Jul 10, 2021 - Python
Fingerprint minutiae extraction + ORB descriptor: A new method for fingerprint matching
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Feb 11, 2020 - C++
fingerprint cnn fingerprint-authentication hyperparameter-tuning correlation-coefficient fingerprint-matching
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May 27, 2023 - Jupyter Notebook
Fingerprint Matching WinForms Application using minutiae features.
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Jul 5, 2024 - C#
A fingerprint matching network that treats fingerprint matching as a quadratic assignment problem. Each pore in a fingerprint is treated as a node in a graph. This model utilizes message passing, Graph COnvolution Networks, attention-based top-k network to estimate the most probable fingerprint correspondences
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Sep 9, 2025 - Python
CSL7360 Course Project Repository
computer-vision classification sift 3d-reconstruction sift-descriptors fingerprint-matching adversarial-detection
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May 6, 2024 - Jupyter Notebook
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