Blood Group Detection through Finger Print Images using Image Processing

There is worldwide demand for an affordable Blood Group measurement solution, which is a particularly urgent need in developing countries. The Image Processing, which is the most penetrated device in both rich and resource-constrained areas, would be a suitable choice to build this solution. This Project proposes a noninvasive Blood Group measurement processes. Also its compared the variation in data collection sites, biosignal processing techniques, theoretical foundations, photoplethysmogram (PPG) signal and features extraction process, Image Processing algorithms, and Detection models to calculate Blood Groups. This analysis was then used to recommend realistic approaches to build a Image Processing-based point-of-care tool for Blood Group measurement in a noninvasive manner. In this project, proposing approaches for blood Group measurement with the aim of recommending data collection techniques, signal extraction processes, feature calculation processes, Image Processing algorithms for developing a noninvasive Blood Group estimation using an Image.