Blood Group Prediction Using Deep Learning
Year: 2025
Type: article
Study design: Observational Study
Abstract: This study aims to investigate the potential correlation between fingerprints and blood groups, exploring the possibility of predicting an individual's blood group based on their fingerprint patterns. Fingerprint analysis has long been utilized in forensic science and biometric identification, but its association with blood groups remains relatively unexplored. The research involves collecting fingerprint samples from a diverse group of participants and analysing them in conjunction with their known blood group data. Statistical analysis and deep learning techniques and Neural Networks “CNN” will be employed to identify any patterns or relationships between fingerprint characteristics and blood groups. The findings of this study could have significant implications in various fields, including forensic investigations, medical emergencies, and biometric identification. Keywords: Key words: Fingerprint, Blood group, Deep learning, Neural Network, CNN
DOI: 10.55041/ijsrem42117
Author: Mrs. Nandhini A1
Language: English
Subfield: Signal Processing
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4408193893