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 …

We present DeepPrint, a deep network, which learns to extract fixed-length fingerprint
representations of only 200 bytes. DeepPrint incorporates fingerprint domain knowledge …

When compared to unimodal systems, multimodal biometric systems have several
advantages, including lower error rate, higher accuracy, and larger population coverage …

In this review, biometric systems are studied from an information theoretical point of view. In
the first part biometric authentication systems are studied. The objective of these systems is …

One of the critical steps in designing a secure biometric system is protecting the templates of
the users that are stored either in a central database or on smart cards. If a biometric …

We design and analyze a method to extract secret keys from the randomness inherent to
wireless channels. We study a channel model for a multipath wireless channel and exploit …

Biometric template protection is one of the most important issues in deploying a practical
biometric system. To tackle this problem, many algorithms, that do not store the template in …

In this paper, we propose a secure multibiometric system that uses deep neural networks
and error-correction coding. We present a feature-level fusion framework to generate a …

Recently, biometric template protection has received great attention from the research
community due to the security and privacy concerns for biometric template. Although a …

Biometrics are an important and widely used class of methods for identity verification and
access control. Biometrics are attractive because they are inherent properties of an …