The Research of Internet Identity Authentication System Based on Fingerprint Information
- DOI
- 10.2991/csece-18.2018.34How to use a DOI?
- Keywords
- information security; biological characteristic; fingerprint identification; identify authentication
- Abstract
With the Internet stepping into thousands of households, human beings really come into in the age of the Internet, When people are cheering for their achievements, however, information security has gradually become our incubus. And how to ensure the security of information is the most urgent problem to be solved. Because of the advantages of biometric identification, it has become a new trend in the Internet authentication. Among numerous biological characteristics, fingerprint has the characteristics of uniqueness, stability, and being collected easily. What's more, researches of identification based on fingerprint are more mature than others. Therefore, we chose the fingerprint identification as the authentication methods of our Internet authentication system. In the process of the research, we used for reference some mature fingerprint identification algorithms, and carried out a series of operations on fingerprint information which including preprocessing, feature extraction, matching and so on. After many tests and modifications, the certification system basically achieved the expectant results.
- 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 - Feng Xiao AU - Yue Zhang AU - Fei Zhang AU - Yongzhen Li PY - 2018/02 DA - 2018/02 TI - The Research of Internet Identity Authentication System Based on Fingerprint Information BT - Proceedings of the 2018 International Conference on Computer Science, Electronics and Communication Engineering (CSECE 2018) PB - Atlantis Press SP - 162 EP - 165 SN - 2352-538X UR - https://doi.org/10.2991/csece-18.2018.34 DO - 10.2991/csece-18.2018.34 ID - Xiao2018/02 ER -