M-Commerce Secured Using Web-Enabled Mobile Biometric Agents

  • Authors:
  • Huiqi Lu;Frederic Claret-Tournier;Chris Chatwin;Rupert C. D. Young

  • Affiliations:
  • -;-;-;-

  • Venue:
  • WI-IATW '07 Proceedings of the 2007 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Workshops
  • Year:
  • 2007

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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.