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» Quality-based Score Level Fusion in Multibiometric Systems
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ICPR
2006
IEEE
14 years 5 months ago
Quality-based Score Level Fusion in Multibiometric Systems
The quality of biometric samples has a significant impact on the accuracy of a matcher. Poor quality biometric samples often lead to incorrect matching results because the feature...
Anil K. Jain, Karthik Nandakumar, Sarat C. Dass, Y...
ICB
2009
Springer
132views Biometrics» more  ICB 2009»
13 years 2 months ago
Fusion in Multibiometric Identification Systems: What about the Missing Data?
Many large-scale biometric systems operate in the identification mode and include multimodal information. While biometric fusion is a well-studied problem, most of the fusion schem...
Karthik Nandakumar, Anil K. Jain, Arun Ross
PAMI
2008
109views more  PAMI 2008»
13 years 4 months ago
Likelihood Ratio-Based Biometric Score Fusion
Multibiometric systems fuse information from different sources to compensate for the limitations in performance of individual matchers. We propose a framework for optimal combinati...
Karthik Nandakumar, Yi Chen, Sarat C. Dass, Anil K...
AVBPA
2001
Springer
146views Biometrics» more  AVBPA 2001»
13 years 9 months ago
Information Fusion in Biometrics
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 tra...
Arun Ross, Anil K. Jain, Jian Zhong Qian
AVBPA
2005
Springer
395views Biometrics» more  AVBPA 2005»
13 years 6 months ago
A Score-Level Fusion Benchmark Database for Biometric Authentication
Fusing the scores of several biometric systems is a very promising approach to improve the overall system’s accuracy. Despite many works in the literature, it is surprising that ...
Norman Poh, Samy Bengio