Summary
International Technical Conference on Circuits/Systems, Computers and Communications
2008
Session Number:A2
Session:
Number:A2-5
Iris Template Protection Method Robust to Stolen Token Case
Youn Joo Lee, Jaihie Kim,
pp.-
Publication Date:2008/7/7
Online ISSN:2188-5079
Summary:
Biometric authentication systems have been used in many security systems such as access contol, computer login, e-commers, and so on. However, biometric authentication systems have a critical problem. The problem is that if they are compromized once, biometric templates are permanantly compromized because biometric charicteristics cannot be changed. In order to solve this problem, the concept of cancelable biometrics was introduced. Cancelable biometrics method based on random projection is one of the various methods to produce revocable biometric templates. This method can easily reissue transformed biometric templates repeatedly and makes biometric features more distinquishable since original biometric signal is projected on random space that was derived from a user’s token that embody the user-specific psuedorandom number (PRN). However, random projection method has a major limitation. In stolen-token senario, the recognition performance remains as single biometrics performance. This paper presents a biometric templates protection method based on random projection, which is robust to stolen-token case. We used multiple random projection (MRP) to produce cancelable biometric templates and extracted regualarized eigenfeatures in order to improve the recognition performance in the stolen token scenario. Experimental results showed that the performance of the proposed method was not greatly degraded in the stolen token scenario.