International Journal of Computer
Trends and Technology

Research Article | Open Access | Download PDF

Volume 73 | Issue 5 | Year 2025 | Article Id. IJCTT-V73I5P123 | DOI : https://doi.org/10.14445/22312803/IJCTT-V73I5P123

Deep Learning and Image Processing Based Blood Group Detection

P. Padmaja, Ch. Poojitha, K.Bhanu Laxman, K.Abhi Ram, U.Vyshnavi

Received Revised Accepted Published
04 Apr 2025 08 May 2025 19 May 2025 31 May 2025

Citation :

P. Padmaja, Ch. Poojitha, K.Bhanu Laxman, K.Abhi Ram, U.Vyshnavi, "Deep Learning and Image Processing Based Blood Group Detection," International Journal of Computer Trends and Technology (IJCTT), vol. 73, no. 5, pp. 179-184, 2025. Crossref, https://doi.org/10.14445/22312803/IJCTT-V73I5P123

Abstract

Blood group identification is crucial in medical emergencies, surgeries, and blood transfusions. Identification by manual means is time-consuming and not precise. This paper suggests an automatic blood group detection system using image processing and deep learning algorithms. The system uses K-Means clustering to separate the image and trains the classifiers like SVM, ANN, and their genetic algorithm-based versions. The user interface is designed using a GUI implemented with Tkinter. Comparative results validate the efficiency and precision of the proposed approach.

Keywords

Detection of Blood Group, Deep Learning, Image Processing, ANN, SVM, Genetic Algorithm, K-Means, Tkinter, Classificationship.

References

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