Work

Advancements in hemotype identification: Fingerprint analysis for blood group determination

Year: 2025

Type: article

Abstract: Hemotype determination through fingerprint analysis offers a non-invasive, pain free, and efficient alternative for blood group classification, enhancing current diagnostic and forensic methodologies. While traditional ABO and Rh typing methods such as the slide agglutination test are relatively simple and can be performed using a minimally invasive fingertip puncture, they still rely on biological sample handling and reagent availability, which may pose challenges in certain emergency or resource limited scenarios. The proposed approach leverages fingerprint ridge patterns to explore correlations between ridge frequencies and the ABO-Rh blood group system. By extracting and analyzing spatial features, including ridge flow and minutiae points, using advanced computer vision and expert system algorithms, accurate hemotype classification is achieved. The methodology employs Scale Invariant Feature Transform (SIFT) for robust feature extraction and XGBoost for efficient classification. This non-invasive framework enhances the accessibility of blood group determination and holds potential for applications in healthcare, emergency response, and forensic investigations where rapid, reagent-free diagnostics are essential.

Source: Franklin Open

DOI: 10.1016/j.fraope.2025.100429

Authors: Prasanth Vaidya S., Akansha Tyagi, Ashok S., Naga Satish G., Meenakshi R.

Institution: Alliance University

Language: English

Topic: Biometric Identification and Security

Subfield: Signal Processing

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $1,900