Document Verification: A Cloud-Based Computing Pattern Recognition Approach to Chipless RFID Academic Article

abstract

• 2018 IEEE. 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.

authors

• Xiong, Zixiang

published proceedings

• IEEE Access

author list (cited authors)

• Arjomandi, L. M., Khadka, G., Xiong, Z., & Karmakar, N. C.

citation count

• 19

complete list of authors

• Arjomandi, Larry M||Khadka, Grishma||Xiong, Zixiang||Karmakar, Nemai C

publication date

• January 2018

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• IEEE Access  Journal

Digital Object Identifier (DOI)

• 10.1109/access.2018.2884651

start page

• 78007

end page

• 78015

volume

• 6

URL

• http://dx.doi.org/10.1109/access.2018.2884651