REVIEW OF EXISTING BARCODE SOLUTIONS IN BIOMETRICS AND ITS APPLICATIONS BASED ON QR CODES

Authors

  • Ablaikhan Madiev L.N. Gumilyov Eurasian National University, Astana, Kazakhstan
  • Dinmukhamed Sissenov L.N. Gumilyov Eurasian National University, Astana, Kazakhstan
  • Roman Shein L.N. Gumilyov Eurasian National University, Astana, Kazakhstan
  • N.M. Kaziyeva L.N. Gumilyov Eurasian National University, Astana, Kazakhstan

DOI:

https://doi.org/10.26577/jpcsit2023v1i4a3

Keywords:

Barcodes, QRCodes, Biometric methods, Personal identification, Biometric authentication

Abstract

In this study, a comprehensive analysis of existing solutions for encoding barcodes in the field of biometrics is presented, with a special emphasis on integration into QR codes. The research begins with an introduction to the analysis topic, highlighting the critical intersection of biometrics and QR code technology. The main objective is to assess potential areas of application and the advantages of using QR codes as a means of encoding biometric data. The study underscores the importance of this integration in strengthening security measures, optimizing identification processes, and expanding the scope of application in various domains. Additionally, the study describes the methodology employed, including a detailed review of relevant literature and a general analysis of existing solutions. The results of this research shed light on the effectiveness and adaptability of biometric QR codes, providing valuable insights into their practical application. This study makes a significant contribution to the field of biometric technology, illuminating the innovative use of QR codes. The research findings serve as a valuable resource for both academic circles and practical implementation, offering a foundation for further refinement of secure identification methods.

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How to Cite

Madiev, A., Sissenov , D., Shein, R., & Kaziyeva, N. (2023). REVIEW OF EXISTING BARCODE SOLUTIONS IN BIOMETRICS AND ITS APPLICATIONS BASED ON QR CODES. Journal of Problems in Computer Science and Information Technologies, 1(4). https://doi.org/10.26577/jpcsit2023v1i4a3