Traditional ways of detecting human blood group in this era of digitization remain analogue and are prone to errors. As, distinguishing blood gathering is fundamental for huge numbers of the medicinal systems it would be extremely productive on the off chance that it is done in an extremely quick powerful methodology. In biotechnological field image processing is being used which is speedy and accurate. Also malaria fever can be detected through image processing by applying different techniques on the extracted image which is acquired from a dataset. Here, in this paper we are proposing a efficient system which will help in detection of blood group and as well as malaria fever depending on microscopic images which are extracted from a digital microscope.
Volume 12 | Issue 2
Pages: 661-666
DOI: 10.5373/JARDCS/V12I2/S20201038