Back to articles
Articles
Volume: 33 | Article ID: art00007
Image
Visual document tracking and blockchain technologies in mobile world
  DOI :  10.2352/ISSN.2470-1173.2021.8.IMAWM-279  Published OnlineJanuary 2021
Abstract

As during the last decade the limit between professional and personal usage of smartphones gradually disappeared, the present study is devoted to the tracking of the visual documents scanned by a personal mobile phone for some professional reasons. By a visual document we assume a composition of text, graphics and images corresponding to various physical-world documents (invoices, calls for tenders, legal contracts, etc.). As the scanning (capturing) conditions cannot be reproductible, the main issue is to unambiguously and securely identify various digital representations for a same physical document. A second issue is related to the inherent constraints in resources made available for such a task in the mobile/embedded environment. To jointly solve these issues, a solution based on coupling the blockchain technologies to the visual fingerprinting principles is advanced. The novel elements thus brought to light relate to (1) the coupling of fingerprint and blockchain solutions, (2) the unitary smart contracts generation and management (with illustrations for the Tezos blockchain) and (3) an on-chain / off-chain work balancing solution for coping to the mobile world constraints. The experimental results obtained on a database of more than 10 000 visual documents resulted in F1 score equal up to 0.98 while being compatible with low-resources computing environments (Raspberry Pi).

Subject Areas :
Views 44
Downloads 7
 articleview.views 44
 articleview.downloads 7
  Cite this article 

M. Allouche, M. Ljubojevic, M. Mitrea, "Visual document tracking and blockchain technologies in mobile worldin Proc. IS&T Int’l. Symp. on Electronic Imaging: Imaging and Multimedia Analytics in a Web and Mobile World,  2021,  pp 279-1 - 279-7,  https://doi.org/10.2352/ISSN.2470-1173.2021.8.IMAWM-279

 Copy citation
  Copyright statement 
Copyright © Society for Imaging Science and Technology 2021
72010604
Electronic Imaging
2470-1173
Society for Imaging Science and Technology
IS&T 7003 Kilworth Lane Springfield, VA 22151 USA