Abstract
Online payment is becoming popular due to the development of e-commerce. So payment safety is more important. Since there is a fraudulent situation, an anti-fraud system is indispensable. GMM was leveraged in many anti-fraud applications, but it only takes positive sample into account. Convolutional neural network is a strong strategy for learning deep representation of samples. So in this paper, we propose a CNNs architecture to deal with this problem. And the distance metric method can effectively identify whether candidates are the same person. Experimental results show the effectiveness of our method.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Journal of Visual Communication and Image Representation
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
