BioPrint AI: An Intelligent Deep Learning and Computer Vision Based Blood Group Identification System Using Fingerprint Patterns

Megharani; Shruti Modi; P.Sripalreddy

BioPrint AI: An Intelligent Deep Learning and Computer Vision Based Blood Group Identification System Using Fingerprint Patterns

June 2026

Vol-12, Issue-3

Paper ID: 28610

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Computer Science and Engineering

Keywords

Deep Learning Computer Vision CNN VGG16 Fingerprint Analysis OpenCV Flask Blood Group Identification Biometric Healthcare Non-Invasive Hematological Classification Transfer Learning Dashboard Monitoring Knowledge Hub

Abstract

BioPrint AI is an intelligent Deep Learning and Computer Vision powered biometric healthcare framework developed for automated fingerprint-based hematological identification through computational biometric interpretation methodologies. The proposed system integrates CNN and VGG16 analytical architectures together with OpenCV-powered fingerprint preprocessing for performing ridge pattern interpretation, minutiae feature extraction, and predictive healthcare classification. The framework utilizes fingerprint healthcare representations to generate rapid, non-invasive biomedical interpretation with substantial analytical precision and computational reliability. The integrated healthcare ecosystem additionally incorporates Flask-based healthcare accessibility, dashboard-oriented biomedical monitoring, and Knowledge Hub educational infrastructures, thereby contributing toward predictive healthcare accessibility, intelligent biometric scalability, and technologically enhanced medical sustainability throughout future healthcare ecosystems.

License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author Information

#	Name	Institute / Affiliation
1	Megharani	Visvesvaraya technological university, belagavi
2	Shruti Modi	Visvesvaraya technological university, belagavi
3	P.Sripalreddy	Visvesvaraya technological university, belagavi

How to Cite

Use the following formats to cite this article in your research.

APA Style

Megharani, Modi, Shruti, & P.Sripalreddy (2026). BioPrint AI: An Intelligent Deep Learning and Computer Vision Based Blood Group Identification System Using Fingerprint Patterns. International Journal of Advance Research and Innovative Ideas In Education, 12(3), 2013-2017.

MLA Style

Megharani, et al. "BioPrint AI: An Intelligent Deep Learning and Computer Vision Based Blood Group Identification System Using Fingerprint Patterns." International Journal of Advance Research and Innovative Ideas In Education, vol. 12, no. 3, 2026, pp. 2013-2017.

IEEE Style

Megharani, Shruti Modi, and P.Sripalreddy, "BioPrint AI: An Intelligent Deep Learning and Computer Vision Based Blood Group Identification System Using Fingerprint Patterns," International Journal of Advance Research and Innovative Ideas In Education, vol. 12, no. 3, pp. 2013-2017, 2026.

Vancouver Style

Megharani, Modi Shruti, P.Sripalreddy. BioPrint AI: An Intelligent Deep Learning and Computer Vision Based Blood Group Identification System Using Fingerprint Patterns. International Journal of Advance Research and Innovative Ideas In Education. 2026;12(3):2013-2017.

Harvard Style

Megharani, Modi, Shruti, & P.Sripalreddy (2026) 'BioPrint AI: An Intelligent Deep Learning and Computer Vision Based Blood Group Identification System Using Fingerprint Patterns', International Journal of Advance Research and Innovative Ideas In Education, 12(3), pp. 2013-2017.

Chicago Style

Megharani, Shruti Modi, and P.Sripalreddy. "BioPrint AI: An Intelligent Deep Learning and Computer Vision Based Blood Group Identification System Using Fingerprint Patterns." International Journal of Advance Research and Innovative Ideas In Education 12, no. 3 (2026): 2013-2017.

Turabian Style

Megharani, Shruti Modi, and P.Sripalreddy. "BioPrint AI: An Intelligent Deep Learning and Computer Vision Based Blood Group Identification System Using Fingerprint Patterns." International Journal of Advance Research and Innovative Ideas In Education 12, no. 3 (2026): 2013-2017.