Automatic Detection of Visual Changes between X-Ray Images to Support Antifraud Customs Control at Ports - A Preliminary Study

Abstract

One of the goals of customs authorities is to identify, at borders, cargos that do not match their declaration, contain illegal items, or pose a hazard to society. Customs X-ray inspection procedures enable the detection of suspicious cargos and are an excellent support tool for customs officials. The ISACC project, funded under the Interreg IPA Cross-border Cooperation Italy-Albania-Montenegro Programme aims at developing a web platform that integrates data, coming from heterogeneous technologies and systems, in order to provide a rich information base supporting customs authorities during antifraud controls. In this paper, we propose a preliminary study, based on the SIFT algorithm, for the automatic detection of visual changes between scanner X-Ray images, that are part of this information base.