Sciweavers

7 search results - page 1 / 2
» Likelihood Ratio-Based Biometric Score Fusion
Sort
View
PAMI
2008
109views more  PAMI 2008»
13 years 5 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
2005
Springer
320views Biometrics» more  AVBPA 2005»
13 years 10 months ago
A Principled Approach to Score Level Fusion in Multimodal Biometric Systems
A multimodal biometric system integrates information from multiple biometric sources to compensate for the limitations in performance of each individual biometric system. We propos...
Sarat C. Dass, Karthik Nandakumar, Anil K. Jain
ICIAP
2005
ACM
13 years 10 months ago
Score Selection Techniques for Fingerprint Multi-modal Biometric Authentication
Abstract. Fingerprints are one of the most used biometrics for automatic personal authentication. Unfortunately, it is often difficult to design fingerprint matchers exhibiting th...
Giorgio Giacinto, Fabio Roli, Roberto Tronci
ICB
2009
Springer
132views Biometrics» more  ICB 2009»
13 years 3 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
ICPR
2006
IEEE
14 years 6 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...