Revisiting Handcrafted Minutiae Detection: A Simple and Effective Open Source Baseline for Modern Fingerprint Workflows

arXiv:2610.11641 · cs.CV · Submitted 2026-10-08 · Read on arXiv

cs.CV

Submitted: 2026-10-08

Updated: 2026-10-08

Code: https://github.com/FingerJetFXOSE/FingerJetFXOSE

Terminology

• Accuracy — 9× in this paper · explained in 1 episode
• Benchmark — 9× in this paper · explained in 2 episodes
• Crossing Number — 4× in this paper
• Fine-Tuning — 4× in this paper · explained in 5 episodes
• Core — 3× in this paper · explained in 2 episodes
• Feature Extraction — 3× in this paper · explained in 2 episodes
• Explainability — 2× in this paper · explained in 3 episodes
• IEEE International Joint Conference on Biometrics — 2× in this paper
• Admissibility — 1× in this paper · explained in 2 episodes
• Computational overhead — 1× in this paper · explained in 2 episodes
• Pruning — 1× in this paper · explained in 4 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Segmentation Masks — 1× in this paper · explained in 2 episodes
• True Positive — 1× in this paper
• Verification — 1× in this paper · explained in 2 episodes

Sources

• LEADER: Lightweight End-to-End Attention-Gated Dual Autoencoder for Robust Minutiae Extraction
• Unleashing the Power of Simplicity: A Minimalist Strategy for State-of-the-Art Fingerprint Enhancement

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