检索结果-南通市图书馆

Gram Matrix-Based Convolutional Neural Network for biometric identification Using Photoplethysmography Signal

Journal of Shanghai Jiaotong university(Science) 2022年第4期27卷 463-472页

作者： Wu Caiyu SABOR Nabil Zhou Shihong Wang Min Ying Liang Wang Guoxing Department of Micro-Nano Electronics Shanghai Jiao Tong UniversityShanghai200240China MoE Key Lab of Artificial Intelligence Shanghai Jiao Tong UniversityShanghai200240China Electrical Engineering Department Assiut UniversityAssiut71516Egypt Department of Urology Renji HospitalShanghai Jiao Tong University School of MedicineShanghai200127China

As a kind of physical signals that could be easily acquired in daily life,photoplethysmography(PPG)signal becomes a promising solution to biometric identification for daily access management system(AMS).State-of-the-art PPG-based identification systems are susceptible to the form of motions and physical conditions of the *** this work,to exploit the advantage of deep learning,we developed an improved deep convolutional neural network(CNN)architecture by using the Gram matrix(GM)technique to convert time-serial PPG signals to two-dimensional images with a temporal dependency to improve accuracy under different forms of *** ensure a fair evaluation,we have adopted cross-validation method and“training and testing”dataset splitting method on the TROIKA dataset collected in ambulatory *** a result,the proposed GM-CNN method achieved accuracy improvement from 69.5%to 92.4%,which is the best result in terms of multi-class classification compared with state-of-the-art *** on average five-fold cross-validation,we achieved an accuracy of 99.2%,improved the accuracy by 3.3%compared with the best existing method for the binary-class.

关键词： photoplethysmography(PPG) biometric identification Gram matrix(GM) convolutional neural network(CNN) multi-class classification

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Exploring biometric identification in FinTech applications based on the modified TAM

引用

Financial Innovation 2021年第1期7卷 902-925页

作者： Jen Sheng Wang Institute of Technology Management National Yang Ming Chiao Tung University1001 Ta‑Hsueh RoadHsinchu 300Taiwan

In recent years,biometric technologies have been widely embedded in mobile devices;these technologies were originally employed to enhance the security of mobile *** the rise of financial technology(FinTech),which uses mobile devices and applications as promotional platforms,biometrics has the important role of strengthening the identification of such applications for ***,users still have privacy and trust concerns about *** studies have demonstrated that the technology acceptance model(TAM)can rigorously explain and predict user acceptance of new *** study therefore modifies the TAM as a basic research *** on a literature review,we add two new variables,namely,“perceived privacy”and“perceived trust,”to extend the traditional TAM to examine user acceptance of biometric identification in FinTech ***,we apply the analytic hierarchy process(AHP)to evaluate the defined objects and relevant criteria of the research ***,we use the AHP results in the scenario analysis to explore biometric identification methods that correspond to objects and *** results indicate that face and voice recognition are the two most preferred identification methods in FinTech *** addition,there are significant changes in the results of the perceived trust and perceived privacy dominant scenarios.

关键词： biometric identification FinTech applications AHP Perceived privacy Perceived trust

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Using Head Patch Pattern as a Reliable biometric Character for Noninvasive Individual Recognition of an Endangered Pitviper Protobothrops mangshanensis

引用

Asian Herpetological Research 2013年第2期4卷 134-139页

作者： Daode YANG Sikan CHEN Yuanhui CHEN Yuying YAN Institute of Wildlife Conservation Central South University of Forestry and Technology Hunan Mangshan National Nature Reserve Administration

Mangshan pitviper, Protobothrops mangshanensis （formerly Zhaoermia mangshanensis） is endemic to China. Unfortunately, due to the decreasing size of its wild populations, this snake has been listed as critically endangered. Re- search carried out on the Mangshan pitviper＇s population ecology and captive reproduction has revealed that the unique head patch patterns of different individuals may potentially be used as a noninvasive recognition biometric character. We collected head patch pattern images of 40 individuals of P. mangshanensis between 1994 and 2011. By comparing each pitviper＇s head patch pattern, we found that the head patch pattern of individual snakes was different and unique. Additionally, we observed and recorded the head patch pattern characters of four adults and five juveniles before and af- ter ecdysis. Our findings confirmed that head patch patterns of Mangshan pitvipers are unique and stable, remaining un- changed after ecdysis. Thus, individuals can be quickly identified by examining the head patch pattern within a specific recognition area on the head. This method may be useful for noninvasive individual recognition in many other species that display color patch pattern variations, especially in studies of endangered species where the use of invasive marking techniques is undesirable.

关键词： biometric identification endangered snake head patch pattern Mangshan pitviper noninvasive individualrecognition image analysis natural markings

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：