proposed to address these vulnerabilities. In particular, we focus on biometric template security which is an important issue because, unlike passwords and tokens, compromised biometric templates cannot be revoked and reissued. Protecting the template is a challenging task due to intrauser variability

transformation techniques. While biometric cryptosystems allow binding a secure key to the biometric data to obtain a so called secure sketch from which no information regarding the biometric data or the key can be recovered, template transformation techniques non-invertibly transform

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A biometric system is vulnerable to a variety of attacks aimed at undermining the integrity of the authentication process. These attacks are intended to either circumvent the security afforded by the system or to deter the normal functioning of the system. We describe the various threats that can

Securing a stored fingerprint image is of paramount importance because a compromised fingerprint cannot be easily revoked. In this work, an input fingerprint image is mixed with another fingerprint (e.g., from a different finger), in order to produce a new mixed image that obscures the identity

In this work we discuss security issues and challenges in the emerging technologies for storing biometric templates securely. Several of the previously proposed schemes are analyzed and are shown to have weaknesses in several practical scenarios. We provide a generalization of the observed

in unibiometric systems. In this thesis, we address two critical issues in the design of a multibiometric system, namely, fusion methodology and template security. First, we propose a fusion methodology based on the Neyman-Pearson theorem for combination of match scores provided by multiple biometric matchers

. Visual cryptography provides an extra layer of authentication. The combination of biometrics and visual cryptography is a promising information security technique which offers an efficient way to protect the biometric template. In this work, we are providing two fold security to the iris template.

Abstract — In this paper, we present an approach to enhance the Biometric Template Security by using Invisible Watermarking. For embedding the watermark in the Biometric Template, we used Parity Checker Method [2]. The use of Parity Checker Method ensures that the change in Biometric Template

methods for enhancing low-quality fingerprints images are discussed. In addition to enhancement, the storage of fingerprint template is also an important issue. Because when the hacker steels the template from the database, it can be misused. To avoid this problem, various template security techniques