A biometric is defined as a unique, measurable, biological characteristic or trait for automatically recognizing or verifying the identity of a human being. These days, biometric technologies are typically used to analyze human characteristics for security purposes. In spite of numerous advantages of biometric based personal authentication systems over traditional security systems based on toke...

The quality of biometric samples used by multimodal biometric experts to produce matching scores has a significant impact on their fusion. We address the problem of quality controlled fusion of multiple biometric experts and focus on the fusion problem in a scenario where biometric trait quality expressed in terms of quality measures can be coarsely quantised. We develop a fusion methodology ba...

An emerging direction for authenticating people is the adoption of biometric authentication systems. Biometric credentials are becoming increasingly popular as a mean of authenticating people due to the wide rage of advantages that they provide with respect to classical authentication methods (e.g., password-based authentication). The most characteristic feature of this authentication method is...

The lip-region can be interpreted as either a genetic or behavioural biometric trait. Despite this breadth of biometric content, lip-based biometric systems are scarcely developed in the literature. A recent trend in lip biometrics is to use a spatiotemporal texture representation of visual speech to generate biometric features. In this paper we make two contributions related to the above biome...

Biometrics refers to automatic recognition of individuals based on their physiological and/or behavioral characteristics. Unimodal biometric systems allow person recognition based on a single source of biometric information but cannot guaranty a perfect identification. Such systems are sensitive to noisy sensor data, non-universality and lack of individuality of the chosen biometric trait, and ...

Large-scale deployment of biometric systems for web-based services has to tackle technological issues related to security, interoperability and accuracy, and social issues related to privacy protection and biometric acquisition process acceptance. The variety of biometric traits, capturing devices, targeted populations and working scenarios makes the development of a universal solution for all-...

Ear biometric for identification of human is quite complex task. It’s use either uni-modal or multi-modal approach in order to authenticate a person. A uni-modal biometric system involves a single source of biometric to identify a person. This paper is based on uni-modal approach with ear as a biometric trait for recognizing a person. In this paper, an experimental approach is used for identify...

Biometric based recognition is the science of identifying or verifying the identity of a person based on physiological and or behavioral characteristics. Biometric recognition offers many advantages over traditional PIN number or password and token-based (e.g., ID cards) approaches. A biometric trait cannot be easily transferred, forgotten or lost, the rightful owner of the biometric template c...

User verification systems that use a single biometric indicator often have to contend with noisy sensor data, restricted degrees of freedom, non-universality of the biometric trait and unacceptable error rates. Attempting to improve the performance of individual matchers in such situations may not prove to be effective because of these inherent problems. Multibiometric systems seek to alleviate...

Combining multiple information sources, typically from several data streams is a very promising approach, both in experiments and to some extents in various real-life applications. A system that uses more than one behavioral and physiological characteristics to verify whether a person is who he/she claims to be is called a multimodal biometric authentication system. Due to lack of large true mu...