A Biometric Authentication System By Embedding Biometrics in QR Codes

This paper brings about the integration of biometric authentication with QR code technology as a new approach to ensuring security and providing convenience for users. We will investigate the design and implementation of an adaptive biometric authentication system using QR codes, which will come after recent improvements in the two domains. The literature review considered herein highlights the importance of biometric features and QR code security measures. This will ensure that fingerprint biometrics and QR codes are used together in ensuring user authentication to prevent unauthorized access. The practical implementation of the system shall be demonstrated through a detailed methodology on data conversion, user interface development, and encryption algorithms. The hardware architecture used includes Arduino UNO and Fingerprint module R307, which facilitate the collection of fingerprint data, while the Fernet Algorithm is used in ensuring secure data transmission. The system is applied in access control, financial services, health, and government operations, among others. The results obtained are promising, referring to both security improvement and user acceptance. Future research directions are envisioned for further refinement and extension of the system's capacity.

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Publication Details

Published
2024-10-17
DOI
https://doi.org/10.1109/icbds61829.2024.10837214
Citations
1
Primary Topic
User Authentication and Security Systems
Type
article
Field-Weighted Citation Impact
0.78
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article

A Biometric Authentication System By Embedding Biometrics in QR Codes

Jayant Kulkarni, Anil Kumar Gupta, Archana Chaudhari, Ujjwala Dube et al.
1 citations
User Authentication and Security Systems
0.78
article

A Biometric Authentication System By Embedding Biometrics in QR Codes

Jayant Kulkarni, Anil Kumar Gupta, Archana Chaudhari, Ujjwala Dube, Atharva Ghorpade, Shivam Sakore
article en
1 citations

Abstract

This paper brings about the integration of biometric authentication with QR code technology as a new approach to ensuring security and providing convenience for users. We will investigate the design and implementation of an adaptive biometric authentication system using QR codes, which will come after recent improvements in the two domains. The literature review considered herein highlights the importance of biometric features and QR code security measures. This will ensure that fingerprint biometrics and QR codes are used together in ensuring user authentication to prevent unauthorized access. The practical implementation of the system shall be demonstrated through a detailed methodology on data conversion, user interface development, and encryption algorithms. The hardware architecture used includes Arduino UNO and Fingerprint module R307, which facilitate the collection of fingerprint data, while the Fernet Algorithm is used in ensuring secure data transmission. The system is applied in access control, financial services, health, and government operations, among others. The results obtained are promising, referring to both security improvement and user acceptance. Future research directions are envisioned for further refinement and extension of the system's capacity.

Centre for Development of Advanced Computing (IN), Symbiosis International University (IN), Dr. D. Y. Patil Medical College, Hospital and Research Centre (IN)
Reduced inequalities
Openalex Percentile: Top 17%
User Authentication and Security Systems
0.78
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A Biometric Authentication System By Embedding Biometrics in QR Codes — Jayant Kulkarni, Anil Kumar Gupta, et al. · (2024) | TGRS Research Map | TGRS