Identification of Blood Group and Blood Cells Through Image Processing

EasyChair Preprint 9981

Abstract

n a human body, blood plays a major role in

delivering oxygen and providing nourishment. So, it’s very

important to have a proper analysis of blood cells and the

blood group of a person. Blood is classified into different

groups based on the antigen and antibodies present on it.

Blood transfusions can be done only between people of same

blood group type. If not, it can be fatal. So, it is very

important to know the blood group of oneself. Blood cells

contain different components such Red Blood Cells (RBC),

White Blood Cells (WBC) etc. The number of RBC and

WBC in a human body plays a major role in indicating the

health condition. Currently, Lab technicians conduct these

tests manually which is time consuming and need a lot of

human intervention. There may be a chance of human

errors. So, to overcome these problems related to cost, time

errors, a software-based methodology is proposed that

process the images obtained from the laboratories through

image processing techniques and gives the blood group type

and blood cells count. A preprocessed dataset has portions

for training and validation. Disease detection based on

machine learning is also equipped. The system takes very

less time for execution and gives high accuracy.

Keyphrases: Artificial Neural Networks, Median Filter, feature extraction, image processing

@booklet{EasyChair:9981,
  author    = {Bhavana Vartha and Nayan Rao Aadhi and Fayaz Shaik and T Padma and Usha Kumari},
  title     = {Identification of Blood Group and Blood Cells Through Image Processing},
  howpublished = {EasyChair Preprint 9981},
  year      = {EasyChair, 2023}}