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@article{179736,
        author = {Bhagyashree S lipane and Pravin R Rathod and G.S.Lipane},
        title = {Blood Group Determination Using Fingerprint Image Processing A Review},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {8812-8813},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=179736},
        abstract = {Blood group determination is essential in medical emergencies, transfusions, organ donations, and forensic investigations. Traditional serological testing methods are accurate but invasive and time-consuming. With the increasing integration of biometrics and artificial intelligence, recent research has explored the feasibility of non-invasive blood group prediction using fingerprint image processing. This review summarizes the progress, methodologies, and findings of studies conducted in this area. It highlights the correlation between dermatoglyphics and blood group traits and examines machine learning and deep learning approaches applied to fingerprint images. The review also discusses applications, limitations, and future research directions.},
        keywords = {},
        month = {May},
        }