학술논문

M-Commerce Secured Using Web-Enabled Mobile Biometric Agents
Document Type
Conference
Source
2007 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Workshops Web Intelligence and Intelligent Agent Technology Workshops, 2007 IEEE/WIC/ACM International Conferences on. :480-483 Nov, 2007
Subject
Computing and Processing
Communication, Networking and Broadcast Technologies
Biometrics
Business
Decoding
Authorization
Graphical user interfaces
Authentication
Iris
Service oriented architecture
Mobile handsets
Cameras
mobile serviceiris recognitiondata matrixSOA
Language
Abstract
M-Commerce brings challenges for both individuals and society. The creation and maintenance of secure identities for online payment has emerged as an important priority of businesses and consumers. In order to address some of these challenges we implement an efficient biometric mobile payment authorization system combined with an embedded commercial barcode reader to provide a worldwide platform-independent mobile payment authentication and tracking system. Pixel oriented methods are implemented in our algorithms to facilitate this low-power computing application. As a result, a standard VGA sized iris image can be verified within 100 ms and the 1-Dimensinal or 2-Demensinal barcode can be real-time decoded while providing product information or payment instructions via a network connection. This combination of barcode reading and customer identity authentication provides a powerful tool for secure m-Commerce applications.