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 accurately.
machine-learning deep-neural-networks deep-learning machine-learning-algorithms fingerprint cnn artificial-intelligence lenet alexnet vgg16 resnet-34 bloodgroup
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Updated
Nov 12, 2024 - Jupyter Notebook