Please use this identifier to cite or link to this item:
Authors: Shang, Shize
Sencar, Hüsrev T.
Memon, Nasir
Kong, Xiangwei
Keywords: [No Keywords]
Issue Date: 2014
Publisher: IEEE
Source: IEEE International Conference on Image Processing (ICIP) -- OCT 27-30, 2014 -- Paris, FRANCE
Series/Report no.: IEEE International Conference on Image Processing ICIP
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.
ISBN: 978-1-4799-5751-4
ISSN: 1522-4880
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

Show full item record

CORE Recommender

Page view(s)

checked on Dec 26, 2022

Google ScholarTM



Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.