关键词: 生物特征, 支付安全, 特征提取, 模式识别, 多特征融合, 空付

Abstract: The development of biometric technology, the improvement of financial payment security and the promotion of users payment experience have led to the development of biometric payment. This new model of payment has put forward higher requirements on the hardware and software of biometric technology. On the basis of the development of big data, cloud computing and intelligent hardware, the acquisition accuracy, processing speed and storage capacity of biological characteristics have been greatly improved, and the hardware is not the most important bottleneck in the development of biometric technology. At present, the biggest problem is how to improve the success rate and reliability of the biological payment through the optimal identification algorithm, and to find a more competitive biological recognition payment scenarios. In this paper, we first analyze the current problems and solutions of biometric identification technology and its process, based on the analysis of the application of biometric identification technology in the field of financial security.

Key words: biometric, payment security, feature extraction, pattern recognition, multifeature fusion, KongFu