There are a lack of multi-modal biometric fusion guidelines at the feature-level. This paper investigates face and fingerprint features in the form of their strengths and weaknesses. This serves as a set of guidelines to authors that are planning face and fingerprint feature-fusion applications or aim to extend this into a general framework. The proposed guidelines were applied to the face and ...

The biometric authentication is an effective alternative for traditional authentication techniques. Because biometric data cannot be easily restored or revoked, it is significant that biometric templates used in biometric applications must be built and stored in a secure way, such that attackers could not be able to falsify biometric data easily even when the templates are negotiated. Researche...

Biometrics are used for authentication. It isused to recognize a person based on their unique characteristics. Among several biometrics, Fingerprint is the most widely used and acceptable biometrics. Biometric system has several advantages over traditional methods. But it can be affected by several attacks. In this paper type 1 attack is discussed which is performed at the sensor level. Differe...

In recent decade security systems based on biometric technologies have played an important role in our community. Fingerprint identification is one of the most important biometric approaches. The uniqueness of a fingerprint is exclusively determined by the local ridge characteristics called minutiae. The automatic fingerprint matching depends on the comparison of these minutiae and their relati...

Traditional fingerprint recognition systems require that the users touch a sensor to perform biometric acquisitions. In order to increase the usability, acceptability, and accuracy of fingerprint recognition technologies, touchless systems have recently been studied. With respect to touch-based biometric techniques, these systems present important differences in most of the steps of the recogni...

We examine the performance of multimodal biometric authentication systems using state-of-the-art Commercial Off-the-Shelf (COTS) fingerprint and face biometrics on a population approaching 1000 individuals. Prior studies of multimodal biometrics have been limited to relatively low accuracy non-COTS systems and populations approximately 10% of this size. Our work is the first to demonstrate that...

In this paper we present an effective scheme that preserves the biometric templates more secured. We present a new algorithm called Enhanced Blind Encryption Algorithm for securing biometric templates between client and server and using that for authentication. There are four phases involved in this process namely, enrollment, identification, matching and fusion. During enrollment, biometric tr...

This research presents the multi –modal biometric system for iris and fingerprint This paper presents the Feature level fusion using wavelet for combining two unimodal biometric system. Gabor transform is used for feature extraction and wavelet transformation for fusion of iris and fingerprint. The system applied artificial neural network technique for recognizing whether the user is genuine (a...

A trustworthy voting process in democratic is important that each vote is recorded with accuracy and impartiality. The accuracy and impartiality are tallied in high rate with biometric system. One of the sign is a fingerprint. Fingerprint recognition is still a challenging problem, because of the distortions among the different impression of the same finger. Because of the trustworthy of biomet...

A biometric system which relies only on a single biometric identifier in making a personal identification is often not able to meet the desired performance requirement. The basic aim of a biometric identify system is to make distinction automatically between subjects in a reliable and dependable way, according to a specific-target application. Multimodal Biometric systems aim to fuse two or mor...