BLOOD TYPE DETECTION USING IMAGE PROCESSING

Abstract

Hospitals require blood for saving patients life and knowing the blood group can avert a crisis and can spare the life of a patient. Advancements in technology is progressing rapidly such that human error can be avoided. Innovation has created image processing techniques for identifying blood group. Blood group identification is done for blood transfusion in emergency circumstances or blood donations. It is a fast and simple way to guarantee that you simply receive the proper kind of blood amid surgery or after an harm. In case you're given incompatible blood, it can be deadly causing agglutination. Thus, it is necessary to perform tests before blood transfusion. Microscopy has irregularly demonstrated it being inefficient due to its time consumption and difficulty in reproducing results. Due to these reasons, computerization of such tests is of high necessity. Based on the analysis of images captured during a slide test, a program is developed to analyze and determine the blood group without human involvement. Resultant images are then obtained to check for blood clumping and blood group is determined. Thus, it will be useful in determining the blood group.