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|Title:||A SEMI-AUTOMATIC DESHREDDING METHOD BASED ON CURVE MATCHING||Authors:||Shang, Shize
Sencar, Hüsrev T.
|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.||URI:||https://hdl.handle.net/20.500.11851/6155||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
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