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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: [email protected].
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
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