期刊名称：International Journal of Network Security & Its Applications
印刷版ISSN：0975-2307
电子版ISSN：0974-9330
出版年度：2011
卷号：3
期号：4
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Usually in assessment of the fingerprint [27] biometric systems High false rejection of valid users is often neglected which results in low false acceptation. Denial of access [20] in the biometric approaches can have a great impact on the usability of the system as it fails to identify an authorized user. This will greatly affect the public acceptance of biometrics in the emerging technology. The technique of Multimodal biometrics can significantly reduce the probability of denial of access without sacrificing the false acceptation performance. In order to solve the problem of high false rejection, a novel two-factor authenticator technique is proposed which is based on iteration of the inner products between tokenized pseudo-random number and the user specific fingerprint features. This proposed method provides a set of user specific compact codes which is named as Biohash code. Cancellable biometric technique is the best method which provides solution of reusing the biometric template. This means that, even if the biometric template is lost, it is still revocable and replaceable. This provides more significant benefits to the users in terms of security and privacy. Thus in the proposed cancellable biometric approach, the true biometric pattern of the user never leaves the client computer. After the necessary biometrics preprocessing, such as segmentation and encoding, the unwrapped fingerprint pattern [21, 3] image or fingerprint code is intentionally distorted using a non-invertible transform. These new versions of the fingerprint are very much secure because the original fingerprint pattern can not be recovered even from the stored representation. They are also cancellable because another totally different pattern or code can be generated by the transform procedure by simply supplying a different set of distortion parameters. In this way one or two fingerprints can be multiplied into thousands of different virtual fingerprints
