The Study of Image Processing Techinque for Blood Group Classification
DineshKumar .P .P
Paper Contents
Abstract
There is a worldwide demand for an affordable solution to blood grouping, which is a particularly urgent need in developing countries. Image processing, the most penetrated device in both resource-rich and resource-constrained regions, would be a suitable choice to build this solution. This project offers non-invasive blood grouping processes. Differences in data acquisition sites, bio signal processing techniques, theoretical foundations, photoplethysmography (PPG) signal and feature extraction process, image processing algorithms, and blood group detection models were also compared. This analysis was then used to suggest realistic approaches for imaging-based point of care to measure blood groups in a non-invasive manner.
Copyright
Copyright © 2023 DineshKumar .P. This is an open access article distributed under the Creative Commons Attribution License.