MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202641043128 A) filed by Bgs College Of Engineering And Technology, Bengaluru, Karnataka, on April 4, for 'an ai-driven multi-parameter biometric health prediction system and method using dermatoglyphic analysis.'
Inventor(s) include Ravikumar Guralamata Krishnegowda; Govindaiah Thimma Raju; Chaitra Naveen; Jyothi Ramakrishnaiah; Monica Ravikumar; Deesha Chinnahali Shivakumar; Moulya Reddy Ashok; and Darshan Ittapattana Lingaraju.
The application for the patent was published on April 17, under issue no. 16/2026.
According to the abstract released by the Intellectual Property India: "Emergency healthcare systems for non-invasive diagnostics often rely on invasive testing and fragmented analysis techniques, resulting in delayed assessments and limited accessibility for early health prediction. The present disclosure addresses these limitations by providing an AI-driven multi-parameter biometric health prediction system using dermatoglyphic analysis. Fingerprint image data is acquired and adaptively pre-processed based on quality metrics to enhance ridge structures. Regions of interest are detected and segmented, followed by extraction of multi-scale dermatoglyphic features using a convolutional neural network to predict blood group with an associated confidence score. In parallel, ridge density is computed and aggregated to generate a composite profile. An adaptive decision engine performs multi-factor decision fusion using ridge density profiles, classification outputs, and confidence scores and ridge density parameters to estimate anemia risk levels. A unified health profile is generated, enabling accurate, non-invasive, and efficient health prediction with improved reliability and accessibility."
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