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@article{172523,
author = {Medini Raj and Harshitha G H and Likhith Gowda A and Dr Chandrika J},
title = {Determination Of Blood Group Using Fingerprint},
journal = {International Journal of Innovative Research in Technology},
year = {2025},
volume = {11},
number = {9},
pages = {73-76},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=172523},
abstract = {—-This paper discusses designing and developing a fingerprint-based blood group detection mobile application, taking advantage of inbuilt fingerprint sensors on smartphones. It introduces a non-invasive and reliable system to determine an individual's ABO blood group based on unique fingerprint patterns. Advanced machine learning algorithms are used for classifying the blood groups by processing fingerprint data. The completely software-based approach does not require any extra hardware components, which makes it accessible, scalable, and user-friendly. The application is targeted toward medical diagnostics, emergency services, and donor compatibility evaluations.},
keywords = {},
month = {January},
}
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