Proceedings of the 2017 International Conference on Material Science, Energy and Environmental Engineering (MSEEE 2017)

A Review of the Application of Fractal in Recognition

Authors
Yongqin Yuan, Fengming Liu, Chuiyun Zhou
Corresponding Author
Yongqin Yuan
Available Online August 2017.
DOI
10.2991/mseee-17.2017.23How to use a DOI?
Keywords
Fractal; identification; information.
Abstract

Based on the fractal theory, this paper briefly reviews the origin and definition of fractal theory, and the concept of fractal dimension and its main calculation method. Then select one of the applications of fractal theory, in the application of recognition, to have a literature review. This paper summarizes the domestic and foreign research literature in recent 5 years, it is found that fractal recognition is involved in image, signal and waveform, but there is no breakthrough in the recognition of text information. Therefore, this paper proposes to use fractal ideas for text information recognition.

Copyright
© 2017, 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/).

Download article (PDF)

Volume Title
Proceedings of the 2017 International Conference on Material Science, Energy and Environmental Engineering (MSEEE 2017)
Series
Advances in Engineering Research
Publication Date
August 2017
ISBN
978-94-6252-377-7
ISSN
2352-5401
DOI
10.2991/mseee-17.2017.23How to use a DOI?
Copyright
© 2017, 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  - Yongqin Yuan
AU  - Fengming Liu
AU  - Chuiyun Zhou
PY  - 2017/08
DA  - 2017/08
TI  - A Review of the Application of Fractal in Recognition
BT  - Proceedings of the 2017 International Conference on Material Science, Energy and Environmental Engineering (MSEEE 2017)
PB  - Atlantis Press
SP  - 124
EP  - 129
SN  - 2352-5401
UR  - https://doi.org/10.2991/mseee-17.2017.23
DO  - 10.2991/mseee-17.2017.23
ID  - Yuan2017/08
ER  -