| 1. Identity statement | ||||
| Reference Type | Conference Paper (Conference Proceedings) | |||
| Site | sibgrapi.sid.inpe.br | |||
| Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH | |||
| Identifier | 8JMKD3MGPAW/3RPAJR2 | |||
| Repository | sid.inpe.br/sibgrapi/2018/09.03.21.36 | |||
| Last Update | 2018:09.03.21.36.30 (UTC) administrator | |||
| Metadata Repository | sid.inpe.br/sibgrapi/2018/09.03.21.36.30 | |||
| Metadata Last Update | 2022:06.14.00.09.23 (UTC) administrator | |||
| DOI | 10.1109/SIBGRAPI.2018.00018 | |||
| Citation Key | PaixãoBeBoBaSoOl:2018:DeLeCo | |||
| Title | A deep learning-based compatibility score for reconstruction of strip-shredded text documents  | |||
| Format | On-line | |||
| Year | 2018 | |||
| Access Date | 2024, Apr. 23 | |||
| Number of Files | 1 | |||
| Size | 6654 KiB | |||
| 2. Context | ||||
| Author | 1 Paixão, Thiago M. 2 Berriel, Rodrigo F. 3 Boeres, Maria C. S. 4 Badue, Claudine 5 Souza, Alberto F. De 6 Oliveira-Santos, Thiago | |||
| Affiliation | 1 Universidade Federal do Espírito Santo (UFES) and Instituto Federal do Espírito Santo (IFES) 2 Universidade Federal do Espírito Santo (UFES) 3 Universidade Federal do Espírito Santo (UFES) 4 Universidade Federal do Espírito Santo (UFES) 5 Universidade Federal do Espírito Santo (UFES) 6 Universidade Federal do Espírito Santo (UFES) | |||
| Editor | Ross, Arun Gastal, Eduardo S. L. Jorge, Joaquim A. Queiroz, Ricardo L. de Minetto, Rodrigo Sarkar, Sudeep Papa, João Paulo Oliveira, Manuel M. Arbeláez, Pablo Mery, Domingo Oliveira, Maria Cristina Ferreira de Spina, Thiago Vallin Mendes, Caroline Mazetto Costa, Henrique Sérgio Gutierrez Mejail, Marta Estela Geus, Klaus de Scheer, Sergio | |||
| e-Mail Address | paixao@gmail.com | |||
| Conference Name | Conference on Graphics, Patterns and Images, 31 (SIBGRAPI) | |||
| Conference Location | Foz do Iguaçu, PR, Brazil | |||
| Date | 29 Oct.-1 Nov. 2018 | |||
| Publisher | IEEE Computer Society | |||
| Publisher City | Los Alamitos | |||
| Book Title | Proceedings | |||
| Tertiary Type | Full Paper | |||
| History (UTC) | 2018-09-03 21:36:30 :: paixao@gmail.com -> administrator :: 2022-06-14 00:09:23 :: administrator -> :: 2018 | |||
| 3. Content and structure | ||||
| Is the master or a copy? | is the master | |||
| Content Stage | completed | |||
| Transferable | 1 | |||
| Version Type | finaldraft | |||
| Keywords | Deep learning Fully-convolutional neural networks Reconstruction of shredded documents Compatibility score | |||
| Abstract | The use of paper-shredder machines (mechanical shredding) to destroy documents can be illicitly motivated when the purpose is hiding evidence of fraud and other sorts of crimes. Therefore, reconstructing such documents is of great value for forensic investigation, but it is admittedly a stressful and time-consuming task for humans. To address this challenge, several computational techniques have been proposed in literature, particularly for documents with text-based content. In this context, a critical challenge for automated reconstruction is to measure properly the fitting (compatibility) between paper shreds (strips), which has been observed to be the main limitation of literature on this topic. The main contribution of this paper is a deep learning-based compatibility score to be applied in the reconstruction of strip-shredded text documents. Since there is no abundance of real-shredded data, we propose a training scheme based on digital simulated-shredding of documents from a well-known OCR database. The proposed score was coupled to a black-box optimization tool, and the resulting system achieved an average accuracy of 94.58% in the reconstruction of mechanically-shredded documents. | |||
| Arrangement 1 | urlib.net > SDLA > Fonds > SIBGRAPI 2018 > A deep learning-based... | |||
| Arrangement 2 | urlib.net > SDLA > Fonds > Full Index > A deep learning-based... | |||
| doc Directory Content | access | |||
| source Directory Content | there are no files | |||
| agreement Directory Content |
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| 4. Conditions of access and use | ||||
| data URL | http://urlib.net/ibi/8JMKD3MGPAW/3RPAJR2 | |||
| zipped data URL | http://urlib.net/zip/8JMKD3MGPAW/3RPAJR2 | |||
| Language | en | |||
| Target File | Paper ID 88.pdf | |||
| User Group | paixao@gmail.com | |||
| Visibility | shown | |||
| Update Permission | not transferred | |||
| 5. Allied materials | ||||
| Mirror Repository | sid.inpe.br/banon/2001/03.30.15.38.24 | |||
| Next Higher Units | 8JMKD3MGPAW/3RPADUS 8JMKD3MGPEW34M/4742MCS | |||
| Citing Item List | sid.inpe.br/sibgrapi/2018/09.03.20.37 10 | |||
| Host Collection | sid.inpe.br/banon/2001/03.30.15.38 | |||
| 6. Notes | ||||
| Empty Fields | archivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination edition electronicmailaddress group isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url volume | |||