Document verification: A cloud-based computing pattern recognition approach to chipless RFID

Larry M. Arjomandi, Grishma Khadka, Zixiang Xiong, Nemai C. Karmakar

Research output: Contribution to journalArticleResearchpeer-review

Abstract

In this paper, we propose a novel means of verifying document originality using chipless RFID systems. The document sender prints a chipless RFID tag into the paper and does a frequency scanning in the 57-64 GHz spectrum of the document. The results of scattering parameters in individual step frequencies are stored in a cloud database, denoised and passed to pattern classifiers, such as support vector machines or ensemble networks. These supervised learners train themselves based on these data on the remote/cloud computer. The document receiver verifies this frequency fingerprint by using the same scanning method, sending the scattering parameters to the cloud server and getting the decoded data. Paper originality is verified if the decoded data are as expected. The advantages of our cloud chipless RFID processing deployments are cost reduction and increased security and scalability.

Original languageEnglish
Article number8555995
Pages (from-to)78007-78015
Number of pages9
JournalIEEE Access
Volume6
DOIs
Publication statusPublished - 2018

Keywords

  • chipless tag
  • classification algorithms
  • cloud computing
  • ensemble networks
  • pattern recognition
  • Radio frequency identification
  • support vector machines

Cite this

Arjomandi, Larry M. ; Khadka, Grishma ; Xiong, Zixiang ; Karmakar, Nemai C. / Document verification : A cloud-based computing pattern recognition approach to chipless RFID. In: IEEE Access. 2018 ; Vol. 6. pp. 78007-78015.
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Document verification : A cloud-based computing pattern recognition approach to chipless RFID. / Arjomandi, Larry M.; Khadka, Grishma; Xiong, Zixiang; Karmakar, Nemai C.

In: IEEE Access, Vol. 6, 8555995, 2018, p. 78007-78015.

Research output: Contribution to journalArticleResearchpeer-review

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