Biometrics based personal identification is regarded as an effective method for automatically recognizing a person’s identity with confidence. A multimodal biometric system consolidates the evidence presented by multiple biometric sources and typically better recognition performance compare to systems based on a single biometric modality. This paper proposes a novel multipartite algorithm for s...

A biometric system which relies only on a single biometric attribute in making a personal identification is often not able to meet the desired performance requirements. Identification based on multiple biometrics represents a new solution. In this paper a multibiometric system is introduced. This system takes advantage of the capabilities of each individual biometric technology. It can be used ...

The multimodal biometric identification is the combination of several biometric systems; the challenge of this combination is to reduce some limitations of systems based on a single modality while significantly improving performance. In this paper, we propose a new approach to the construction and the protection of a multimodal biometric database dedicated to an identification system. We use a ...

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...

Law enforcement agencies have been exploiting biometric identifiers for decades as key tools in forensic identification. With the evolution in information technology and the huge volume of cases that need to be investigated by forensic specialists, it has become important to automate forensic identification systems. While, ante mortem (AM) identification, that is identification prior to death, ...

This paper is related to the development of an innovative multimodal biometric identification system. Unimodal biometric systems often face significant limitations due to sensitivity to noise intraclass variability and other factors. Multimodal biometric identification systems aim to fuse two or more physical or behavioral traits to provide optimal False Acceptance Rate (FAR) and False Rejectio...

Biometric technologies are becoming inevitable in highly secure identification and personal verification solutions. With an increase in transaction frauds, security breaches the need for highly secure identification and personal verification technologies is becoming need of the hour. The major advantage of biometric system over traditional methods is that they are typically unique for each pers...

Biometric Identification Protocol with Random Parameter is modelled in the current paper by using Petri Nets, namely with the modern extension of Petri Nets-Colored Petri Nets. The purpose of modelling Biometric Identification Protocol with Random Parameter by the use of Petri Nets is to reveal the following aspects of the functioning model: The efficiency of the model; Behaviour; The existence...

A biometric system provides automatic recognition of an individual based on a unique feature or characteristic possessed by the individual. These biometric characteristic may physiological or behavioral. Unlike other identification methods such as id proof, tokens and password, the distinct aspect of biometric recognition comes into light from randomly distributed features in human being. In th...

The different kind of characteristics of human beings such as fingerprints, palm print , facial features , iris pattern , retina and hand geometry are the personal identification and verification computing by Biometric. Such type of Biometric verification and authentication approach using the biological features inherent in each individual. This kind of Biometric identification is a technology ...