UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 2 | February 2026

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Published in:

Volume 12 Issue 7
July-2025
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIR2507653


Registration ID:
566947

Page Number

g360-g368

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Title

BLOOD GROUP DETECTION BY FINGERPRINTS USING MACHINE LEARNING

Abstract

Key Words

Blood Group Detection, Fingerprint Biometrics, Deep Learning, Convolutional Neural Network (CNN), Computer Vision, Non-Invasive Diagnostics, Medical Imaging, Data Augmentation, Pattern Recognition, Personalized Healthcare, Artificial Intelligence in Medicine.

Cite This Article

"BLOOD GROUP DETECTION BY FINGERPRINTS USING MACHINE LEARNING ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 7, page no.g360-g368, July-2025, Available :http://www.jetir.org/papers/JETIR2507653.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"BLOOD GROUP DETECTION BY FINGERPRINTS USING MACHINE LEARNING ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 7, page no. ppg360-g368, July-2025, Available at : http://www.jetir.org/papers/JETIR2507653.pdf

Publication Details

Published Paper ID: JETIR2507653
Registration ID: 566947
Published In: Volume 12 | Issue 7 | Year July-2025
DOI (Digital Object Identifier):
Page No: g360-g368
Country: Visakhapatnam, Andhra Pradesh, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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