Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.11851/6155
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Shang, Shize | - |
dc.contributor.author | Sencar, Hüsrev T. | - |
dc.contributor.author | Memon, Nasir | - |
dc.contributor.author | Kong, Xiangwei | - |
dc.date.accessioned | 2021-09-11T15:35:06Z | - |
dc.date.available | 2021-09-11T15:35:06Z | - |
dc.date.issued | 2014 | en_US |
dc.identifier.citation | IEEE International Conference on Image Processing (ICIP) -- OCT 27-30, 2014 -- Paris, FRANCE | en_US |
dc.identifier.isbn | 978-1-4799-5751-4 | - |
dc.identifier.issn | 1522-4880 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.11851/6155 | - |
dc.description.abstract | We present a semi-automatic method to reconstruct shredded documents. The novelty of the method lies in the way it performs pairwise matching of chads. The technique divides chad contours into curves using corner detection and introduces a procedure to assess the match of two curves. The proposed curve matching technique is robust to translation and rotation and can cope with shape deformations due to shredding by allowing overlapping of chads during matching. The alignment of text lines, crossing characters and color information on the chads is also utilized to improve matching performance. Visual interfaces are designed to allow for user input in identifying correctly matching chad pairs and reconstructing the document.] The effectiveness of the method is demonstrated by solving the first and second puzzles of the DARPA shredder challenge. | en_US |
dc.description.sponsorship | IEEE | en_US |
dc.language.iso | en | en_US |
dc.publisher | IEEE | en_US |
dc.relation.ispartof | 2014 IEEE International Conference On Image Processing (Icip) | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | [No Keywords] | en_US |
dc.title | A Semi-Automatic Deshredding Method Based on Curve Matching | en_US |
dc.type | Conference Object | en_US |
dc.relation.ispartofseries | IEEE International Conference on Image Processing ICIP | en_US |
dc.department | Faculties, Faculty of Engineering, Department of Computer Engineering | en_US |
dc.department | Fakülteler, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü | tr_TR |
dc.identifier.startpage | 5537 | en_US |
dc.identifier.endpage | 5541 | en_US |
dc.identifier.wos | WOS:000370063605141 | en_US |
dc.identifier.scopus | 2-s2.0-84949928645 | en_US |
dc.institutionauthor | Sencar, Hüsrev Taha | - |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.relation.conference | IEEE International Conference on Image Processing (ICIP) | en_US |
dc.identifier.scopusquality | - | - |
item.openairetype | Conference Object | - |
item.languageiso639-1 | en | - |
item.grantfulltext | none | - |
item.fulltext | No Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.cerifentitytype | Publications | - |
Appears in Collections: | Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
CORE Recommender
WEB OF SCIENCETM
Citations
3
checked on Aug 31, 2024
Page view(s)
64
checked on Dec 23, 2024
Google ScholarTM
Check
Altmetric
Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.