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Title: :  BLOOD GROUP DETECTION USING FINGERPRINT
PaperId: :  26147
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 11 Issue 2 2025
DUI:    16.0415/IJARIIE-26147
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
N ANITHASiddharth Institute of Engineering & Technology (SIETK)
NAGIREDDY BHAVITHASiddharth Institute of Engineering & Technology (SIETK)
PARLAPALLI VARALAKSHMISiddharth Institute of Engineering & Technology (SIETK)
THOKALA MUKESHSiddharth Institute of Engineering & Technology (SIETK)
KUMMARI YOGESHSiddharth Institute of Engineering & Technology (SIETK)
A BHARATH KUMARSiddharth Institute of Engineering & Technology (SIETK)

Abstract

Information Technology
Blood group detection, Fingerprint analysis, Machine learning, Convolutional Neural Networks (CNN), MobileNet, RNN, ResNet, Vision Transformer, Biometric applications, Medical diagnostics.
This project presents a novel approach for blood group detection using fingerprint analysis, a non-invasive and efficient method that can enhance current blood typing techniques. The study involves classifying fingerprints into eight distinct blood group categories: A+, A-, AB+, AB-, B+, B-, O+, and O-. We employ a variety of advanced machine learning algorithms to achieve high accuracy in classification. Specifically, we utilize Convolutional Neural Networks (CNN), MobileNet, RNN combined with ResNet, and Vision Transformers to analyze fingerprint patterns and extract meaningful features. Our approach focuses on leveraging the unique characteristics of fingerprint minutiae to correlate with specific blood group characteristics. Through comprehensive experiments, we evaluate the performance of each algorithm, assessing their accuracy, precision, and computational efficiency. The results demonstrate the potential of fingerprint-based blood group detection as a reliable alternative to traditional methods. This innovative technique not only provides quick and accurate results but also contributes to the growing field of biometric applications in medical diagnostics. The findings highlight the feasibility of integrating biometric identification systems with healthcare solutions, paving the way for future research in this domain.

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IJARIIE N ANITHA, NAGIREDDY BHAVITHA, PARLAPALLI VARALAKSHMI, THOKALA MUKESH, KUMMARI YOGESH, and A BHARATH KUMAR. "BLOOD GROUP DETECTION USING FINGERPRINT" International Journal Of Advance Research And Innovative Ideas In Education Volume 11 Issue 2 2025 Page 1457-1464
MLA N ANITHA, NAGIREDDY BHAVITHA, PARLAPALLI VARALAKSHMI, THOKALA MUKESH, KUMMARI YOGESH, and A BHARATH KUMAR. "BLOOD GROUP DETECTION USING FINGERPRINT." International Journal Of Advance Research And Innovative Ideas In Education 11.2(2025) : 1457-1464.
APA N ANITHA, NAGIREDDY BHAVITHA, PARLAPALLI VARALAKSHMI, THOKALA MUKESH, KUMMARI YOGESH, & A BHARATH KUMAR. (2025). BLOOD GROUP DETECTION USING FINGERPRINT. International Journal Of Advance Research And Innovative Ideas In Education, 11(2), 1457-1464.
Chicago N ANITHA, NAGIREDDY BHAVITHA, PARLAPALLI VARALAKSHMI, THOKALA MUKESH, KUMMARI YOGESH, and A BHARATH KUMAR. "BLOOD GROUP DETECTION USING FINGERPRINT." International Journal Of Advance Research And Innovative Ideas In Education 11, no. 2 (2025) : 1457-1464.
Oxford N ANITHA, NAGIREDDY BHAVITHA, PARLAPALLI VARALAKSHMI, THOKALA MUKESH, KUMMARI YOGESH, and A BHARATH KUMAR. 'BLOOD GROUP DETECTION USING FINGERPRINT', International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 2, 2025, p. 1457-1464. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/BLOOD_GROUP_DETECTION_USING_FINGERPRINT_ijariie26147.pdf (Accessed : ).
Harvard N ANITHA, NAGIREDDY BHAVITHA, PARLAPALLI VARALAKSHMI, THOKALA MUKESH, KUMMARI YOGESH, and A BHARATH KUMAR. (2025) 'BLOOD GROUP DETECTION USING FINGERPRINT', International Journal Of Advance Research And Innovative Ideas In Education, 11(2), pp. 1457-1464IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/BLOOD_GROUP_DETECTION_USING_FINGERPRINT_ijariie26147.pdf (Accessed : )
IEEE N ANITHA, NAGIREDDY BHAVITHA, PARLAPALLI VARALAKSHMI, THOKALA MUKESH, KUMMARI YOGESH, and A BHARATH KUMAR, "BLOOD GROUP DETECTION USING FINGERPRINT," International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 2, pp. 1457-1464, Mar-App 2025. [Online]. Available: https://ijariie.com/AdminUploadPdf/BLOOD_GROUP_DETECTION_USING_FINGERPRINT_ijariie26147.pdf [Accessed : ].
Turabian N ANITHA, NAGIREDDY BHAVITHA, PARLAPALLI VARALAKSHMI, THOKALA MUKESH, KUMMARI YOGESH, and A BHARATH KUMAR. "BLOOD GROUP DETECTION USING FINGERPRINT." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 11 number 2 ().
Vancouver N ANITHA, NAGIREDDY BHAVITHA, PARLAPALLI VARALAKSHMI, THOKALA MUKESH, KUMMARI YOGESH, and A BHARATH KUMAR. BLOOD GROUP DETECTION USING FINGERPRINT. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2025 [Cited : ]; 11(2) : 1457-1464. Available from: https://ijariie.com/AdminUploadPdf/BLOOD_GROUP_DETECTION_USING_FINGERPRINT_ijariie26147.pdf
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