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
A system for identifying latent fingerprints. Created at Michigan State University by Anil K. Jain, Kai Cao, Dinh-Luan Nguyen, and Cori Tymoszek.
FingerFlow is an end-to-end deep learning Python framework for fingerprint minutiae manipulation built on top of Keras - TensorFlow high-level API.
A fingerprint program that connects with fingerprint scanners and uses the Cwsq, Mindtct and Bozorth3 to check whether a fingerprint match or not with a existing fingerprint gallery.
Simple server app made in Qt to demonstrate the possibilities of fingerprint recognition.
Fingerprint image preprocessing and minutiae extraction using AHE normalization, Gabor filtering, KMM thinning algorithm, Otsu binarization and Crossing Number Algorithm along with false minutiae removal.
Features Extraction course - 2020
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