fingerprint-based-blood-group-detection
PublicThis 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.
alexnetartificial-intelligencebloodgroupcnndeep-learningdeep-neural-networksfingerprintlenetmachine-learningmachine-learning-algorithms
Creat：2024-11-12T18:14:34
Update：2025-03-20T21:59:35
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