Abstract

Determining the blood group rapidly has become the crucial task. At present blood group detection job is done manually by the technicians, which may result in some errors. In this project blood group is determined using both Image processing and hardware. Among many blood groups discovered so far ABO (includes A, B, AB, O) is the most important blood group, which is classified based on the presence and absence of the A and B antigens in the human blood. Image processing technique plays a vital role in the useful changes for the current world. Medical Imaging is one such field that has prominent uses for providing great relief to the people who lack experts. The blood samples are collected and mixed with the antiserums and the image is captured. By implementing Image processing techniques, the image is loaded in the proposed system and processed furthur. Image Pre-Processing implements conversion of image from Red- Green-Blue (RGB) to binary image and then segmentation of processed image into region for post processing by using advanced morphological operations. Finally, by calculating the density of black pixels of segmented region blood group is detected. Another technique suggests a noninvasive method based on the optical characteristics of blood to identify different blood types. When optical signals are permitted to travel through the finger, light serves as the source, and a detector picks up the voltage. The voltage value obtained depends on the type of antigen that is present on the Red Blood Cells (RBC) because blood's optical properties vary. Blood group analysis is performed using the voltage value that was acquired. This project helps in comparing the methodologies mentioned above.