Reconstructing Regular Shredded Documents by Similarity Measure
Authors
Cheng Le, Nanjie Deng, Xiao Jin
Corresponding Author
Cheng Le
Available Online May 2014.
- DOI
- 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/).
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 - 10.2991/scict-14.2014.38 ID - Le2014/05 ER -