Identity statement area | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Identifier | 8JMKD3MGPAW/3PF6BJ8 |
Repository | sid.inpe.br/sibgrapi/2017/08.17.13.40 |
Last Update | 2017:08.17.13.40.25 administrator |
Metadata | sid.inpe.br/sibgrapi/2017/08.17.13.40.25 |
Metadata Last Update | 2020:02.19.02.01.21 administrator |
Citation Key | OliveiraNass:2017:DeMoPr |
Title | Detecting Modifications in Printed Circuit Boardsfrom Fuel Pump Controllers  |
Format | On-line |
Year | 2017 |
Date | Oct. 17-20, 2017 |
Access Date | 2021, Jan. 21 |
Number of Files | 1 |
Size | 4683 KiB |
Context area | |
Author | 1 Oliveira, Thomas Jose Mazon de 2 Marco Aurelio Wehrmeister 3 Nassu, Bogdan Tomoyuki |
Affiliation | 1 Federal University of Technology - Parana 2 Federal University of Technology - Parana 3 Federal University of Technology - Parana |
Editor | Torchelsen, Rafael Piccin Nascimento, Erickson Rangel do Panozzo, Daniele Liu, Zicheng Farias, Mylène Viera, Thales Sacht, Leonardo Ferreira, Nivan Comba, João Luiz Dihl Hirata, Nina Schiavon Porto, Marcelo Vital, Creto Pagot, Christian Azambuja Petronetto, Fabiano Clua, Esteban Cardeal, Flávio |
e-Mail Address | thomasoliveira@alunos.utfpr.edu.br |
Conference Name | Conference on Graphics, Patterns and Images, 30 (SIBGRAPI) |
Conference Location | Niterói, RJ |
Book Title | Proceedings |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Tertiary Type | Full Paper |
History | 2017-08-17 13:40:25 :: thomasoliveira@alunos.utfpr.edu.br -> administrator :: 2020-02-19 02:01:21 :: administrator -> :: 2017 |
Content and structure area | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Content Type | External Contribution |
Keywords | Image-based detection of modifications in printed circuit boards, Fraud detection in fuel pumps, Computer vision, image registration, machine learning, Points of interest. |
Abstract | Frauds involving illegal modifications to the printedcircuit boards from fuel pump controllers are a serious problem,which not only harms customers, but also connects to othercrimes, such as money laundering and tax evasion. The currentstate-of-practice for inspecting these boards is a visual analysisperformed by a human. In this paper, we introduce an image-based approach that can provide support to the human inspectorby automatically detecting suspicious regions in the boards.The proposed approach aligns a photograph of the inspectedboard to a reference view, partitions the image in sub-regions,extracts features using a variation of the popular Scale-InvariantFeature Transform, classifies the features against previouslytrained Support Vector Machines, and integrates the results forpresentation. In experiments performed on a dataset containing649 images from a board, with and without modifications, ourapproach achieved a precision of 0.7739, a recall of 0.9434, andanF-measure 0.8503. These results indicate that our approachcan effectively identify suspicious regions, providing invaluablehelp to the human inspector. |
source Directory Content | there are no files |
agreement Directory Content | |
Conditions of access and use area | |
data URL | http://urlib.net/rep/8JMKD3MGPAW/3PF6BJ8 |
zipped data URL | http://urlib.net/zip/8JMKD3MGPAW/3PF6BJ8 |
Language | en |
Target File | SibGrapi.pdf |
User Group | thomasoliveira@alunos.utfpr.edu.br |
Visibility | shown |
Update Permission | not transferred |
Allied materials area | |
Mirror Repository | sid.inpe.br/banon/2001/03.30.15.38.24 |
Next Higher Units | 8JMKD3MGPAW/3PJT9LS 8JMKD3MGPAW/3PKCC58 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
Notes area | |
Empty Fields | accessionnumber archivingpolicy archivist area callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi edition electronicmailaddress group holdercode isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume |
| |