Proceedings of the 2018 International Conference on Network, Communication, Computer Engineering (NCCE 2018)

Text Fragment Recovery Method Based on Imperial Competition Algorithm

Authors
Dongyu Guo, Zeyuan Tao
Corresponding Author
Dongyu Guo
Available Online May 2018.
DOI
10.2991/ncce-18.2018.111How to use a DOI?
Keywords
Imperial Competition Algorithm; K-MEANS clustering; text fragment splicing.
Abstract

In this paper, a text fragment splicing method based on K-means and Empire competition algorithm is proposed. First, use K-means clustering to find out a piece of paper that belongs to one line; Then, define the edge distance of the paper, and establish a combined optimization model; using the imperial competition algorithm to optimize the solution. The experimental results show that the speed and accuracy of this algorithm are improved compared with the literature algorithm and have certain application value.

Copyright
© 2018, 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 2018 International Conference on Network, Communication, Computer Engineering (NCCE 2018)
Series
Advances in Intelligent Systems Research
Publication Date
May 2018
ISBN
10.2991/ncce-18.2018.111
ISSN
1951-6851
DOI
10.2991/ncce-18.2018.111How to use a DOI?
Copyright
© 2018, 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  - Dongyu Guo
AU  - Zeyuan Tao
PY  - 2018/05
DA  - 2018/05
TI  - Text Fragment Recovery Method Based on Imperial Competition Algorithm
BT  - Proceedings of the 2018 International Conference on Network, Communication, Computer Engineering (NCCE 2018)
PB  - Atlantis Press
SP  - 675
EP  - 680
SN  - 1951-6851
UR  - https://doi.org/10.2991/ncce-18.2018.111
DO  - 10.2991/ncce-18.2018.111
ID  - Guo2018/05
ER  -