Credit Card Duplication and Crime Prevention Using Biometrics

Abstract

A phenomenal growth in the number of credit card transactions, especially for on-line purchases, has also led to a substantial rise in fraudulent activities. Credit card fraudulent transactions are very easy to conduct, while very difficult to recover, compared to the fraud cases in hard-products transactions. In real life, fraudulent transactions could be interspersed with genuine transactions and simple pattern matching techniques are not often sufficient to detect the fraudulent transactions efficiently. Moreover, surrogate representations of identity can be easily forgotten, lost, guessed, stolen, or shared. Further it can be hacked through malicious websites or prone to security breaches. Implementation of efficient fraud detection systems has thus become imperative for all credit card companies in order to minimize their losses. In this paper, we propose a IRPV (Iris Recognition and Palm Vein) recognition technology which will help add even more security to existing biometric devices that may be susceptible to fraud. The techniques used are Palm vein technology, along with iris recognition. It is difficult to crack, because each person's vein pattern is unique. Thus, biometric systems impart higher levels of security when appropriately integrated into applications requiring user authentication. The experimental results show that the detection rate would prove 99.995% compared to traditional methods.