文档介绍:中国科技论文在线
s and LBP features and will be
extracted and stored in the database to the server using a distributed server architecture, through
the two characteristics of the algorithm to calculate the cosine similarity, the server stores user
avatar, facial features and personal when the payment information in scanning face recognition
after the success of the client will fall out of personal information after the confirmation of the
35 personal account payment interface. The client and the consumer end use MQTTcommunication,
using high cohesion, low coupling design mode, using MySQL database storage data. The system
function is complete, technical function innovation, reliable and stable.
Key words: Face recognition ; HOG features;LBP features;Brush face payment
40 0 引言
随着计算机技术的发展和互联网的普及,互联网和医疗已经渗透到社会生活的各个领
域,与此同时,网络和信息系统的安全性支付也成为业界的研究热点。身份认证技术作为信
息安全的第一道屏障,在互联网和医疗时代越来越受到人们的关注。[1]
传统的身份认证技术,主要借助于身份标识物品(钥匙、IC 卡等)和身份标识知识(帐
45 号、密码等),一旦证明身份的标识物品和标识知识被盗或遗忘,其身份就容易被他人冒充。
作者简介:旷钱成(1987-),男,智慧医疗、车联网
通信联系人:王丹志(1964-),男,副教授,无线通信技术与电子系统设计