Research on brush face payment system based on internet artificial intelligence

Issue title: Special Section: Fuzzy Logic for Analysis of Clinical Diagnosis and Decision-Making in Health Care

Article type: Research Article

Authors: Yang, Yingfa^{; *}

Affiliations: Hebei University of Engineering School of Marxism, Handan, Hebei, China

Correspondence: [*] Corresponding author. Yingfa Yang, Hebei University of Engineering School of Marxism, Handan 056038, Hebei, China. E-mail: yangyingfa1@eyou.com.

Abstract: The facial information of a person has constant invariance, and at the same time, it is an ideal basis for identifying identity information through differences between different individuals. The use of face recognition in third-party payment platforms will greatly improve the efficiency and security of payment. Based on this, the paper studies and designs the third-party payment system for face recognition in the context of Internet artificial intelligence to improve the convenience and security of face payment.

Keywords: Internet, artificial intelligence, face payment, face recognition, third party payment system

DOI: 10.3233/JIFS-179376

Journal: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 1, pp. 21-28, 2020