The Application of the Integration of the Internet of Things and Palm Print Recognition Algorithm in the Mobile Third-Party Payment Platform

Mobile third-party payment platform can rapidly promote the realization of the Internet of things, and the current mobile third-party payment risk prediction results deviation larger problems, so this paper puts forward the Internet of things and palm print recognition algorithm fusion of mobile third-party payment platform risk prediction in-depth research. In view of the problems existing in the data sample of the mobile third-party payment platform, the risk prediction of mobile third-party payment is taken as the entry point, and the analysis means are completed through feature selection, unbalanced sample processing and the integration of the Internet of Things, and the risk prediction of mobile third-party payment. The experimental results show that the proposed method in this paper can effectively improve the accuracy of risk prediction of mobile third-party payment platform and has certain use value, and the risk prediction of mobile third-party payment through big data and deep learning algorithm has high accuracy.