-----------------------------------------------------------ABSTRACT----------------------------------------------------------Biometric traits are now highly explored by researchers to establish a system that can be used to accurately identify a person. Personal identification based on biometric features is becoming more popular these days because it is more reliable than traditional methods and...

Single biometric modality recognition is not able to meet the high performance supplies in most cases with its application become more and more broadly. Multimodal biometrics identification represents an emerging trend recently. This paper investigates a novel algorithm based on fusion of both fingerprint and fingervein biometrics. For both biometric recognition, we employ the Monogenic Local B...

The use of millimetre wave images has been proposed recently in the biometric field to overcome certain limitations when using images acquired at visible frequencies. Furthermore, the security community has started using millimetre wave screening scanners in order to detect concealed objects. We believe we can exploit the use of these devices by incorporating biometric functionalities. This pap...

Biometric systems have been recently developed and used for authentication or identification in several scenarios, ranging from institutional purposes (border control) to commercial applications (point of sale). Two main issues are raised when such systems are applied: reliability and privacy for users. Multi-biometric systems, i.e. systems involving more than a biometric trait, increase the se...

Template and database are critical parts of biometric systems. Attacker usually afflict biometric template. There can be various attacks on different modules of biometrics system and communication links among them. Securing templates from these attacks have become very important or imperative issue. Security is achieved by methods of cryptography, which deals with encryption of data. Encryption...

Biometric systems based on uni-modal traits are characterized by noisy sensor data, restricted degrees of freedom, non-universality and are susceptible to spoof attacks. Multi-modal biometric systems seek to alleviate some of these drawbacks by providing multiple evidences of the same identity. In this paper, a user-score-based weighting technique for integrating the iris and signature traits i...

Biometric systems that use a single biometric trait have to contend with noisy data, restricted degrees of freedom, failureto-enroll problems, spoof attacks, and unacceptable error rates. Multibiometric systems that use multiple traits of an individual for authentication, alleviate some of these problems while improving verification performance. We demonstrate that the performance of multibiome...

Biometric fusion to achieve multimodality has emerged as a highly successful new approach to combat problems of unimodal biometric system such as intraclass variability, interclass similarity, data quality, non-universality, and sensitivity to noise. The authors have proposed new type of biometric fusion called cancelable fusion. The idea behind the cancelable biometric or cancelability is to t...

Biometric system that based on single biometric called uni-modal biometrics usually suffers from problems like imposter's attack or hacking, unacceptable error rate and low performance. So the need of using multimodal biometric system arises in such cases. The aim of this paper is to study the fusion at feature extraction level for face and fingerprint. The proposed system fuses the two tr...

A biometric identify verification system tries to verify user identities by comparing some sort of behavioral or physiological trait of the user to a previously stored sample of the trait. The recent developments in the biometrics area have lead to smaller, faster and cheaper systems, which in turn has increased the number of possible application areas for biometric identity verification. Today...