Code and models for paper "Robust Minutiae Extractor: Integrating Deep Networks and Fingerprint Domain Knowledge" at International Conference on Biometrics (ICB) 2018
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Updated
Sep 5, 2018 - Python
Code and models for paper "Robust Minutiae Extractor: Integrating Deep Networks and Fingerprint Domain Knowledge" at International Conference on Biometrics (ICB) 2018
Complete educational AFIS (Automated Fingerprint Identification System) built in Python. Implements the full fingerprint recognition pipeline: acquisition, preprocessing (Gabor filters, skeletonization), minutiae extraction, template storage (SQLite), and matching (1:1 & 1:N). Perfect for learning biometrics and computer vision.
Desktop Python application to import AFIS reports, extract structured data and export analysis artifacts.
Desktop application for viewing, editing and comparing ANSI/NIST-ITL biometric files.
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