Publications

Abstract : Blood grouping is an essential procedure in blood transfusions, donations and other emergencies. An error in grouping or a cross match can have adverse effect on the patient. Conventional way of blood grouping is performed manually on the basis of agglutination of blood in reaction with chemical reagents. The above method can lead to human errors while handling a large number of samples. Various systems have been developed to automate blood typing, but their excess testing time made it difficult during emergencies. This work emphasizes the FPGA implementation of an image processing algorithm to determine the blood group of a person. To do so, it uses plate test and image processing techniques using Vivado System Generator. Edge detection algorithm is performed in the image captured from the plate test. The number of edges determines whether the sample has agglutination or not. By comparing the number of edges in the image, blood group is classified. The proposed algorithm is implemented on a standard FPGA Development Board and its performance is evaluated by calculating accuracy of classification. © Springer International Publishing Switzerland 2015.