Fingerprint based blood group detection

Automated excerpt

This project explores a different approach: using fingerprint images and machine learning to predict a person's blood group. The main idea is to combine fingerprint image processing, Gabor feature extraction, and a Convolutional Neural Network (CNN) to classify blood groups from fingerprint images. The project implementation uses multiple filter orientations to process the fingerprint image.

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