Blood Group Detection Using Fingerprint

This Project Inspects obtaining Blood Group with using Fingerprint Impressions. As in usually established methods of detecting Blood Group requires blood samples lab analysis and manpower with extensive needs, this technology works as great alternative for it. This system acquires fingerprint using fingerprint scanner. The captured fingerprint goes through various processes & necessary features are extracted using Machine Learning Algorithms to compare with existing data. The primary goal of this project is to investigate whether fingerprint characteristics, such as ridge patterns, minutiae points, and overall fingerprint types, can be linked to an individual’s blood group. This project involved collecting fingerprint images from multiple individuals along with their corresponding blood group information. The project aims to create user friendly and reliable system for blood group detection.