A Score-Level Fusion Benchmark Database for Biometric Authentication

2005 ◽  
pp. 1059-1070 ◽  
Author(s):  
Norman Poh ◽  
Samy Bengio
Keyword(s):  
Biometric Authentication ◽  
Score Level Fusion ◽  
Benchmark Database ◽  
Level Fusion

A Novel Biometric Authentication System with Score Level Fusion

2017 ◽  
Vol 4 (3) ◽  
pp. 383-404
Author(s):  
Ramesh Naidu Balaka ◽  
Prasad Babu Maddali Surendra
Keyword(s):  
Biometric Authentication ◽  
Score Level Fusion ◽  
Authentication System ◽  
Level Fusion

Multimodal biometric authentication based on score level fusion of finger biometrics

Optik ◽  
2014 ◽  
Vol 125 (23) ◽  
pp. 6891-6897 ◽  
Author(s):  
Jialiang Peng ◽  
Ahmed A. Abd El-Latif ◽  
Qiong Li ◽  
Xiamu Niu
Keyword(s):  
Biometric Authentication ◽  
Score Level Fusion ◽  
Level Fusion

Multimodal biometric authentication based on score level fusion using support vector machine

2009 ◽  
Vol 17 (1) ◽  
Author(s):  
F. Wang ◽  
J. Han
Keyword(s):  
Support Vector Machine ◽  
Performance Improvement ◽  
Fusion Rule ◽  
Support Vector ◽  
Biometric Identification ◽  
Final Decision ◽  
Biometric Authentication ◽  
Score Level Fusion ◽  
Identification Methods ◽  
Level Fusion

AbstractFusion of multiple biometrics for human authentication performance improvement has received considerable attention. This paper presents a novel multimodal biometric authentication method integrating face and iris based on score level fusion. For score level fusion, support vector machine (SVM) based fusion rule is applied to combine two matching scores, respectively from Laplacianface based face verifier and phase information based iris verifier, to generate a single scalar score which is used to make the final decision. Experimental results show that the performance of the proposed method can bring obvious improvement comparing to the unimodal biometric identification methods and the previous fused face-iris methods.

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