A general framework of fusion at decision level, which works on ROCs instead of matching scores, is investigated. Under this framework, we further propose a hybrid fusion method, which combines the score-level and decision-level fusions, taking advantage of both fusion modes. The hybrid fusion adaptively tunes itself between the two levels of fusion, and improves the final performance over the original two levels. The proposed hybrid fusion is simple and effective for combining different biometrics
Biometric systems are automated methods based on physical or behavioral characteristics of an indivi...
The biometric-based authentication system occupies maximal space in the field of security administra...
International audienceDue to the limitations that unimodal systems suffer from, Multibiometric syste...
A biometric system for user authentication produces a matching score representing the degree of simi...
75 p. : ill. ; 30 cmThe work of this research focuses on fusing multiple biometric modalities at the...
This paper presents a multimodal biometric system based on error level fusion. Two error level fusio...
A multimodal biometric system integrates information from multiple biometric sources to compensate f...
Single biometric systems suffer from many challenges such as noisy data, non-universality and spoof ...
Fusion is a popular practice to increase the reliability of the biometric verification. In this pape...
Multi-biometrics aims at building more accurate unified biometric decisions based on the information...
Multi-biometrics aims at building more accurate unified biometric decisions based on the information...
Due to inherent properties in each biometric, none of any single biometric can guarantee 100 % authe...
Multi-biometrics aims at building more accurate unified biometric decisions based on the information...
Multi-biometrics is the use of multiple biometric recognition sources to provide a more dependable v...
In a multimodal biometric system, the effective fusion method is necessary for combining information...
Biometric systems are automated methods based on physical or behavioral characteristics of an indivi...
The biometric-based authentication system occupies maximal space in the field of security administra...
International audienceDue to the limitations that unimodal systems suffer from, Multibiometric syste...
A biometric system for user authentication produces a matching score representing the degree of simi...
75 p. : ill. ; 30 cmThe work of this research focuses on fusing multiple biometric modalities at the...
This paper presents a multimodal biometric system based on error level fusion. Two error level fusio...
A multimodal biometric system integrates information from multiple biometric sources to compensate f...
Single biometric systems suffer from many challenges such as noisy data, non-universality and spoof ...
Fusion is a popular practice to increase the reliability of the biometric verification. In this pape...
Multi-biometrics aims at building more accurate unified biometric decisions based on the information...
Multi-biometrics aims at building more accurate unified biometric decisions based on the information...
Due to inherent properties in each biometric, none of any single biometric can guarantee 100 % authe...
Multi-biometrics aims at building more accurate unified biometric decisions based on the information...
Multi-biometrics is the use of multiple biometric recognition sources to provide a more dependable v...
In a multimodal biometric system, the effective fusion method is necessary for combining information...
Biometric systems are automated methods based on physical or behavioral characteristics of an indivi...
The biometric-based authentication system occupies maximal space in the field of security administra...
International audienceDue to the limitations that unimodal systems suffer from, Multibiometric syste...