Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{180682,
        author = {Aishwarya and Dr Shilpa Mangshetty and Anushka Swami and Divya},
        title = {Automated Blood Group Classification from Handprint  Images Using Deep Learning and Image Processing  Techniques.},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {1},
        pages = {2017-2022},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=180682},
        abstract = {This paper introduces automated blood 
group classification from handprint images by image 
processing and deep learning methods. Handprint 
images are preprocessed to extract features, and a 
convolutional neural network (CNN) is employed for 
classification. The method introduces a non-invasive 
method for blood group detection. The system 
enhances accuracy and efficiency, making it 
applicable to medical diagnostics.},
        keywords = {Blood group classification, Convolutional  Neural Network, Deep learning, Handprint images,  Image processing},
        month = {June},
        }