MUMBAI, India, Feb. 27 -- Intellectual Property India has published a patent application (202641017987 A) filed by Malla Reddy Engineering College For Women; and Malla Reddy University, Hyderabad, Telangana, on Feb. 18, for 'system and method for fingerprint-based blood group identification using deep learning and secure authentication.'
Inventor(s) include Y. Madhaveelatha; Sailaja Madhu; Chikka Harshini; Boya Vijaya Durga; Aruna Sre Bethapudi; M. Parthasaradhi; Mohd. Abdus Sattar; and Pilli Uday.
The application for the patent was published on Feb. 27, under issue no. 09/2026.
According to the abstract released by the Intellectual Property India: "The invention discloses a machine learning system for predicting blood groups from fingerprint images, integrating biometric authentication and explainable insights. The system comprises fingerprint acquisition, preprocessing, feature extraction, classification, authentication, and insight generation modules. Fingerprint images are enhanced through noise reduction and ridge detection, then analyzed using convolutional neural networks trained on diverse datasets. Predictions include blood group categories and confidence scores, while authentication ensures secure identity linkage. Interpretability mechanisms such as saliency maps and feature importance visualizations provide transparency into model decisions. This non-invasive approach offers a rapid, scalable, and secure alternative to conventional serological testing. Applications include healthcare diagnostics, forensic investigations, and biometric security systems. By combining deep learning with biometric authentication, the invention addresses limitations of prior art and enhances trust in automated diagnostic systems. Experimental validation demonstrates improved accuracy compared to existing methods, confirming the viability of fingerprints as predictors of blood group types."
Disclaimer: Curated by HT Syndication.
