We investigate the Behavior Knowledge Space [4] and Decision Templates [7] methods of classifier fusion in the context of personal identity verification involving six intramodal experts exploiting frontal face biometrics. The results of extensive experiments on the XM2VTS database show the Behavioural Knowledge Space fusion strategy achieves consistently better results than the Decision Templates method. Most importantly, it exhibits quasi monotonic behaviour as the number of experts combined increases
Automatic verification of personal identity using facial images is the central topic of the thesis....
Abstract. In this paper we study two aspects of decision fusion for enhancing face authentication. F...
In a biometric template protected authentication system, a pseudonymous identifier is the part of a ...
We investigate the Behavior Knowledge Space [4] and Decision Templates [7] methods of classifier fus...
We investigate the behavior knowledge space method (see Xu, L. et al., IEEE Transactions SMC,2, no.3...
Abstract. In this paper, an experimental comparison between fixed and trained fusion rules for multi...
The contribution of this paper is to compare paradigms coming from the classes of parametric, and no...
Identity verification systems that use a mono modal biometrics always have to contend with sensor no...
Person authentication is the process of confirming or determining a person's identity. Its purpose i...
Fusion is a popular practice to increase the reliability of the biometric verification. In this pape...
. In this paper we investigate benefits of classifier combination (fusion) for a multimodal system f...
When combining outputs from multiple classifiers, many combination rules are available. Although eas...
Abstract. This paper presents the use of a multi-linear classifier allowing to fuse the results of s...
Reliability of the performance of biometric identity verification systems remains a significant chal...
A methodology for fusing multiple instances of biometric data to improve the performance of a person...
Automatic verification of personal identity using facial images is the central topic of the thesis....
Abstract. In this paper we study two aspects of decision fusion for enhancing face authentication. F...
In a biometric template protected authentication system, a pseudonymous identifier is the part of a ...
We investigate the Behavior Knowledge Space [4] and Decision Templates [7] methods of classifier fus...
We investigate the behavior knowledge space method (see Xu, L. et al., IEEE Transactions SMC,2, no.3...
Abstract. In this paper, an experimental comparison between fixed and trained fusion rules for multi...
The contribution of this paper is to compare paradigms coming from the classes of parametric, and no...
Identity verification systems that use a mono modal biometrics always have to contend with sensor no...
Person authentication is the process of confirming or determining a person's identity. Its purpose i...
Fusion is a popular practice to increase the reliability of the biometric verification. In this pape...
. In this paper we investigate benefits of classifier combination (fusion) for a multimodal system f...
When combining outputs from multiple classifiers, many combination rules are available. Although eas...
Abstract. This paper presents the use of a multi-linear classifier allowing to fuse the results of s...
Reliability of the performance of biometric identity verification systems remains a significant chal...
A methodology for fusing multiple instances of biometric data to improve the performance of a person...
Automatic verification of personal identity using facial images is the central topic of the thesis....
Abstract. In this paper we study two aspects of decision fusion for enhancing face authentication. F...
In a biometric template protected authentication system, a pseudonymous identifier is the part of a ...