Extract minutiae features from fingerprint images
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Updated
Jun 19, 2022 - Python
Extract minutiae features from fingerprint images
This repository presents an innovative approach to classifying blood groups using fingerprint images through deep learning techniques. The project explores state-of-the-art convolutional neural network (CNN) architectures, such as ResNet, VGG16, AlexNet, and LeNet, to analyze and predict blood groups with the fingerprint images
A database of fingerprints - BVC-2016-Noisy-fingerprint data, collected by the Biometrics Vision and Computing (BVC) group
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