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Title : Blood group detection by fingerprint using Image Processing Techniques

Author : Dr. RVS Harish, DASARI MEGHANA, BUSAM MOUNIKA, ALLAPARTHI YOGALAKSHMI SURYA KUMARI, GANTA PALLAVI, GUDIPALLI ANUSHA

Abstract :

Blood group identification plays a crucial role in medical emergencies and healthcare management. Traditional blood group testing methods require invasive procedures and laboratory equipment. This project explores a non-invasive approach to blood group detection using fingerprint image processing techniques. Fingerprints contain unique ridge patterns that may correlate with blood group characteristics. Image processing techniques are applied to extract fingerprint features. Preprocessing methods such as noise removal and enhancement improve image quality. Feature extraction techniques analyse ridge density, bifurcation, and pattern orientation. Machine learning algorithms classify fingerprints based on extracted features. The system aims to predict blood groups accurately without blood samples. The approach reduces time, cost, and discomfort for patients. Digital image processing ensures fast and automated analysis. The model is trained using labeled fingerprint datasets. Classificatio

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International Journal of Engineering Research & Informatics (IJERI)
E-ISSN: 2348-6481

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