The Deshredder: A visual analytic approach to reconstructing shredded documents

Butler, Patrick J.; Chakraborty, Prithwish; Ramakrishan, Naren

doi:10.1109/vast.2012.6400560

Cited by 26 publications

(9 citation statements)

References 28 publications

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“…This research area was very active in the early 2010's, a competition has even been initiated. It has been created by the U.S. Defence Advanced Research Projects Agency (DARPA) [6].…”

Section: Related Workmentioning

confidence: 99%

Papy-S-Net

Pirrone

Aimar

Journet

2019

Proceedings of the 5th International Workshop on Historical Document Imaging and Processing

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Like all heritage documents, papyri are the subject of an in-depth study by scientists. While large volumes of papyri have been digitized and indexed, many are still waiting to be so. It takes time to study a papyrus mainly because they are rarely available in one piece. Papyrologists must review a large number of fragments, find those that go together and then assemble them to finally analyze the text. Unfortunately, some fragments no longer exist. It is then a time consuming puzzle to solve, where not all the pieces are available and where fragments boundaries are not perfectly matching. This article describes a method to help Papyrologists save time by helping them to solve this complex puzzle. We provide a solution where an expert use a fragment as a request element and get fragments that belong to the same papyrus. The main contribution is the proposal of a deep siamese network architecture, called Papy-S-Net for Papyrus-Siamese-Network, designed for papyri fragment matching. This network is trained and validated on 500 papyrus fragments approx. We compare the results of Papy-S-Net with a previous work of Koch et al. [14] which proposes a siamese network to match written symbols. In order to train and validate the network, we proceed to the extraction of patches from the papyrus fragments to create our ground truth. Papy-S-Net outperforms Koch et al. 's network. We also evaluate our approach on a real use case on which Papy-S-Net achieves 79% of correct matches. CCS CONCEPTS • Applied computing → Document Analysis; • Computing methodologies → Neural networks.

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“…This research area was very active in the early 2010's, a competition has even been initiated. It has been created by the U.S. Defence Advanced Research Projects Agency (DARPA) [6].…”

Section: Related Workmentioning

confidence: 99%

Papy-S-Net

Pirrone

Aimar

Journet

2019

Proceedings of the 5th International Workshop on Historical Document Imaging and Processing

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“…Because the proposed encryption scheme permutes block images to generate a scrambled image, an attacker may restore the encrypted image to the original image using a tool such as the jigsaw puzzle solver [10], [11] or the deshredder [12]. The tools try to restore an original image from a scrambled image by using its edge information, color, and mean of pixel values.…”

Section: Security Analysismentioning

confidence: 99%

An Encryption-then-Compression System for Lossless Image Compression Standards

Kurihara

Imaizumi

Shiota

et al. 2017

IEICE Trans. Inf. & Syst.

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SUMMARYIn many multimedia applications, image encryption has to be conducted prior to image compression. This letter proposes an Encryption-then-Compression system using JPEG XR/JPEG-LS friendly perceptual encryption method, which enables to be conducted prior to the JPEG XR/JPEG-LS standard used as an international standard lossless compression method. The proposed encryption scheme can provides approximately the same compression performance as that of the lossless compression without any encryption. It is also shown that the proposed system consists of four block-based encryption steps, and provides a reasonably high level of security. Existing conventional encryption methods have not been designed for international lossless compression standards, but for the first time this letter focuses on applying the standards.

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“…M.nandhini In [10] proposed Featureless image mosaicing technique, Initially the proposed algorithm starts with the inputting of image in which the fragments are scanned with the help of a scanner and taken as input to the algorithm. The algorithm detects the boundary of each fragment, marks them explicitly.…”

Section: Technique For Shredded Document Reconstructionmentioning

confidence: 99%

Reconstruction of Shredded Document Using Image Mosaicing Technique-A Survey

2015

IJSR

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In Image processing, image mosaicing is one of technique that are tilling or reconstruct shredded images.Reconstruction of hand shredded. Document is challenging task in forensic, investigation science, in corporation, historical artifact reconstruction. Creating of document mosaic images from some shredded piece views is provide valuable information from getting a larger view of a document image than available within a single view and it has been used in many applications. A general framework for shredded document image mosaicing is proposed in this paper. This paper also discusses a review on different applications of image mosaicing and techniques of shredded document image mosaicing. These techniques are helpful to reconstruct shredded documents effectively.

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The Deshredder: A visual analytic approach to reconstructing shredded documents

Cited by 26 publications

References 28 publications

Papy-S-Net

Papy-S-Net

An Encryption-then-Compression System for Lossless Image Compression Standards

Reconstruction of Shredded Document Using Image Mosaicing Technique-A Survey

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