Proceedings of the 2nd International Conference on Soft Computing in Information Communication Technology

Reconstructing Regular Shredded Documents by Similarity Measure

Authors
Cheng Le, Nanjie Deng, Xiao Jin
Corresponding Author
Cheng Le
Available Online May 2014.
DOI
https://doi.org/10.2991/scict-14.2014.38How to use a DOI?
Keywords
reconstruct shredding; minimum-error method; similarity algorithm; similarity measure
Abstract

This paper describes a method to the problem of reconstructing regular shredded documents by similarity measure. Regular shredded document can be quantized as gray-level matrix or two-value matrix. So we can match the gray value of the edge of the shredded document, which is indicated as similarity value. We calculate the similarity value by using improved minimum-error method, a kind of similarity measure method. The two shredded owning the biggest similarity value is probable to be the neighboring ones. So we can reconstruct these regular shredded documents through this method until it is recovered.

Copyright
© 2014, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2nd International Conference on Soft Computing in Information Communication Technology
Series
Advances in Intelligent Systems Research
Publication Date
May 2014
ISBN
978-94-6252-014-1
ISSN
1951-6851
DOI
https://doi.org/10.2991/scict-14.2014.38How to use a DOI?
Copyright
© 2014, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Cheng Le
AU  - Nanjie Deng
AU  - Xiao Jin
PY  - 2014/05
DA  - 2014/05
TI  - Reconstructing Regular Shredded Documents by Similarity Measure
BT  - Proceedings of the 2nd International Conference on Soft Computing in Information Communication Technology
PB  - Atlantis Press
SP  - 160
EP  - 162
SN  - 1951-6851
UR  - https://doi.org/10.2991/scict-14.2014.38
DO  - https://doi.org/10.2991/scict-14.2014.38
ID  - Le2014/05
ER  -