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An Efficient System for Automatic Blood Type Determination Based on Image Matching Techniques
| Content Provider | MDPI |
|---|---|
| Author | Odeh, Nuha Toma, Anas Mohammed, Falah Dama, Yousef Oshaibi, Farah Shaar, Muna |
| Copyright Year | 2021 |
| Description | This paper presents a fast and accurate system to determine the type of blood automatically based on image processing. Blood type determination is 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 |
| Starting Page | 5225 |
| e-ISSN | 20763417 |
| DOI | 10.3390/app11115225 |
| Journal | Applied Sciences |
| Issue Number | 11 |
| Volume Number | 11 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2021-06-04 |
| Access Restriction | Open |
| Subject Keyword | Applied Sciences Industrial Engineering Blood Typing Image Matching Scale Invariant Feature Transform (sift) Speed-up Robust Feature (surf) Oriented Fast and Rotated Brief (orb) |
| Content Type | Text |
| Resource Type | Article |
