Proceedings of the 2022 3rd International Conference on Modern Education and Information Management (ICMEIM 2022)

<Previous Article In Volume
Next Article In Volume>

Face Recognition Based on Citation Network and Main Path Analysis Research on Technology Evolution Path

Authors
Shenxu Wang1, Duanwu Yan1, *, Decheng Duan1, Mingcheng Liu1
1School of Economics and Management, Nanjing University of Science and Technology, Nanjing, Jiangsu, China
*Corresponding author. Email: yanwu123@sina.com
Corresponding Author
Duanwu Yan
Available Online 27 December 2022.
DOI
10.2991/978-94-6463-044-2_100How to use a DOI?
Keywords
citation network; main path analysis; face recognition; technology evolution
Abstract

By studying the technology evolution path in the field of face recognition, we can understand the knowledge evolution path and innovative development direction in the field of face recognition, which is conducive to predicting and grasping the future development of face recognition. Firstly, obtain patent data and build a patent citation network in the field of face recognition; Then according to the life cycle theory, the development stages of face recognition are divided, and the citation network is segmented. Finally, the SPC main path extraction algorithm is used to extract the main paths in different development stages of face recognition, and the patent content of the main paths is analyzed. By analyzing the content of the core patents on the main path, the development direction of each development stage in the field of face recognition is roughly clarified, and the evolution path of face recognition knowledge technology “facial feature localization and recognition — multi-facial feature recognition — facial feature digitalization and algorithm analysis” is found.

Copyright
© 2022 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 2022 3rd International Conference on Modern Education and Information Management (ICMEIM 2022)
Series
Atlantis Highlights in Social Sciences, Education and Humanities
Publication Date
27 December 2022
ISBN
10.2991/978-94-6463-044-2_100
ISSN
2667-128X
DOI
10.2991/978-94-6463-044-2_100How to use a DOI?
Copyright
© 2022 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Shenxu Wang
AU  - Duanwu Yan
AU  - Decheng Duan
AU  - Mingcheng Liu
PY  - 2022
DA  - 2022/12/27
TI  - Face Recognition Based on Citation Network and Main Path Analysis Research on Technology Evolution Path
BT  - Proceedings of the 2022 3rd International Conference on Modern Education and Information Management (ICMEIM 2022)
PB  - Atlantis Press
SP  - 803
EP  - 809
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-044-2_100
DO  - 10.2991/978-94-6463-044-2_100
ID  - Wang2022
ER  -