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基于MediaPipe的非触摸式在线签名认证系统

王波^1,2, 王瑞杰¹, 蔡洁轩¹, 何妍¹, 陈宗仁¹, 刘晓林¹, 唐懿芳¹, 蒋琦峰², 张嘉臣², 刘侠²

(1.广东科学技术职业学院计算机工程技术学院(人工智能学院), 珠海 519090;2.哈尔滨理工大学自动化学院, 哈尔滨 150080)

Non-touch Online Signature Authentication System Based on MediaPipe Framework

WANG Bo^1,2, WANG Rui-Jie¹, CAI Jie-Xuan¹, HE Yan¹, CHEN Zong-Ren¹, LIU Xiao-Lin¹, TANG Yi-Fang¹, JIANG Qi-Feng², ZHANG Jia-Chen², LIU Xia²

(1.Computer Engineering Technical College (Artificial Intelligence College), Guangdong Polytechnic of Science and Technology, Zhuhai 519090, China;2.School of Automation, Harbin University of Science and Technology, Harbin 150080, China)

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本文已被：浏览 532次下载 1291次
Received:April 09, 2023 Revised:May 11, 2023

中文摘要: 针对手写签名认证的可靠性和设备依赖性问题, 设计并实现了一种基于MediaPipe的非触摸式在线签名认证系统. 该系统以MediaPipe为基础框架, 通过视频获得在线手写签名, 并提取签名轨迹点的时序特征作为匹配模板, 进而采用加权联合概率策略构建签名认证模型. 该模型在边缘端设备的平均认证等误率(EER)为3.04%. 采用基于PyQt设计的应用作为可视化UI界面, 实现在视频场景中的非触摸式在线签名交互认证. 该系统使用实时视频感知交互方式实现在线签名认证, 无需其他的外部设备, 具有更低的设备依赖性和更高的认证可靠性.

中文关键词: 签名认证非触摸式在线签名 MediaPipe框架时序特征加权联合概率策略

Abstract:In this study, a non-touch online signature authentication system based on the MediaPipe framework is designed and implemented for the reliability and device dependency of handwritten signature authentication. The system utilizes MediaPipe as the underlying framework, captures the online handwritten signatures through video, extracts the temporal features of signature trajectory points as matching templates, and constructs a signature authentication model using a weighted joint probability strategy. The model achieves an average equal error rate (EER) of 3.04% on edge devices. An application designed based on PyQt is used as a visual UI interface to enable online non-touch signature authentication in video scenarios. This system uses real-time video sensing interaction to achieve online signature authentication without the need for other external devices, resulting in lower device dependency and greater authentication reliability.

keywords: signature authentication non-touch online signature MediaPipe framework temporal features weighted joint probability strategy

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基金项目:广东省教育厅普通高校重点领域专项(新一代电子信息)(2022ZDZX1053, 2021ZDZX3040); 广东省教育厅普通高校创新团队项目(自然科学)(2022KCXTD047); 广州市科技计划基础与应用基础研究项目(202201011693)

Author Name	Affiliation	E-mail
WANG Bo	Computer Engineering Technical College (Artificial Intelligence College), Guangdong Polytechnic of Science and Technology, Zhuhai 519090, China School of Automation, Harbin University of Science and Technology, Harbin 150080, China	hust_wb@126.com
WANG Rui-Jie	Computer Engineering Technical College (Artificial Intelligence College), Guangdong Polytechnic of Science and Technology, Zhuhai 519090, China
CAI Jie-Xuan	Computer Engineering Technical College (Artificial Intelligence College), Guangdong Polytechnic of Science and Technology, Zhuhai 519090, China
HE Yan	Computer Engineering Technical College (Artificial Intelligence College), Guangdong Polytechnic of Science and Technology, Zhuhai 519090, China
CHEN Zong-Ren	Computer Engineering Technical College (Artificial Intelligence College), Guangdong Polytechnic of Science and Technology, Zhuhai 519090, China
LIU Xiao-Lin	Computer Engineering Technical College (Artificial Intelligence College), Guangdong Polytechnic of Science and Technology, Zhuhai 519090, China
TANG Yi-Fang	Computer Engineering Technical College (Artificial Intelligence College), Guangdong Polytechnic of Science and Technology, Zhuhai 519090, China
JIANG Qi-Feng	School of Automation, Harbin University of Science and Technology, Harbin 150080, China
ZHANG Jia-Chen	School of Automation, Harbin University of Science and Technology, Harbin 150080, China
LIU Xia	School of Automation, Harbin University of Science and Technology, Harbin 150080, China

Author Name	Affiliation	E-mail
WANG Bo	Computer Engineering Technical College (Artificial Intelligence College), Guangdong Polytechnic of Science and Technology, Zhuhai 519090, China School of Automation, Harbin University of Science and Technology, Harbin 150080, China	hust_wb@126.com
WANG Rui-Jie	Computer Engineering Technical College (Artificial Intelligence College), Guangdong Polytechnic of Science and Technology, Zhuhai 519090, China
CAI Jie-Xuan	Computer Engineering Technical College (Artificial Intelligence College), Guangdong Polytechnic of Science and Technology, Zhuhai 519090, China
HE Yan	Computer Engineering Technical College (Artificial Intelligence College), Guangdong Polytechnic of Science and Technology, Zhuhai 519090, China
CHEN Zong-Ren	Computer Engineering Technical College (Artificial Intelligence College), Guangdong Polytechnic of Science and Technology, Zhuhai 519090, China
LIU Xiao-Lin	Computer Engineering Technical College (Artificial Intelligence College), Guangdong Polytechnic of Science and Technology, Zhuhai 519090, China
TANG Yi-Fang	Computer Engineering Technical College (Artificial Intelligence College), Guangdong Polytechnic of Science and Technology, Zhuhai 519090, China
JIANG Qi-Feng	School of Automation, Harbin University of Science and Technology, Harbin 150080, China
ZHANG Jia-Chen	School of Automation, Harbin University of Science and Technology, Harbin 150080, China
LIU Xia	School of Automation, Harbin University of Science and Technology, Harbin 150080, China

引用文本：
王波,王瑞杰,蔡洁轩,何妍,陈宗仁,刘晓林,唐懿芳,蒋琦峰,张嘉臣,刘侠.基于MediaPipe的非触摸式在线签名认证系统.计算机系统应用,2023,32(11):131-139
WANG Bo,WANG Rui-Jie,CAI Jie-Xuan,HE Yan,CHEN Zong-Ren,LIU Xiao-Lin,TANG Yi-Fang,JIANG Qi-Feng,ZHANG Jia-Chen,LIU Xia.Non-touch Online Signature Authentication System Based on MediaPipe Framework.COMPUTER SYSTEMS APPLICATIONS,2023,32(11):131-139