Face recognition for e-commerce security

In electronic commerce, it is difficult to verify the buyers identity as his signature cannot be produced on demand. Furthermore, it is easy to impersonate anothers identity by using a stolen credit card number ii-hen making, online payments. Credit card frauds have been reported all over the world. In this paper, we propose a FaceID system to support user verification over the Internet using a face recognition technique, known as the Line Edge Map (LEM). In any e-commerce transactions, the buyers credit card number and face image data captured by a video camera located on the PC are encoded, encrypted and transmitted via the Internet to the FaceID server for verification, At the FaceID server, the face image code associated with the credit card number is retrieved from the face image code database and then matched with the received face image code captured from the buyer using the LEM algorithm. A positive verification gives the go ahead for the intended transaction. The verification results will then be transmitted to the seller for completing the transaction.