High Confidence Visual Recognition of Persons by a Test of Statistical Independence
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Secure Mobile Track and Trace System for Anti-Counterfeiting
EEE '05 Proceedings of the 2005 IEEE International Conference on e-Technology, e-Commerce and e-Service (EEE'05) on e-Technology, e-Commerce and e-Service
An agent-oriented mobile payment system secured using a biometrics approach
International Journal of Agent-Oriented Software Engineering
A multimodal technique for an embedded fingerprint recognizer in mobile payment systems
Mobile Information Systems - Advances in Mobile Communications and Computing
A biometric-based authentication system for web services mobile user
Proceedings of the 8th International Conference on Advances in Mobile Computing and Multimedia
Hi-index | 0.00 |
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.