An Efficient System for Automatic Blood Type Determination based on Image Matching Techniques
Publication Type
Original research
Authors

This paper presents a fast and accurate system to determine the type of blood automatically based on image processing. Blood type determination is very important in emergency situations, where there is a need for blood transfusion to save lives. The traditional blood determination techniques are performed manually by a specialist in medical labs, where the result requires a long time or may be affected by human error. This may cause serious consequences or even endanger people’s lives. The proposed approach performs blood determination in real-time with low cost using any available mobile device equipped with a camera. A total of 500 blood samples were processed in this study using different image matching techniques including Oriented fast and Rotated Brief (ORB), Scale Invariant Feature Transform (SIFT) and Speed Up Robust Feature (SURF). The evaluation results show that our proposed system, which adopts the ORB algorithm, is the fastest and the most accurate among the state-of-the-art systems. It can achieve an accuracy of 99.6% in an average time of 250 milliseconds.

Journal
Title
Applied Sciences
Publisher
MDPI
Publisher Country
Switzerland
Indexing
Scopus
Impact Factor
2.474
Publication Type
Online only
Volume
--
Year
2021
Pages
--