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» Biometric Recognition: When Is Evidence Fusion Advantageous
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CIARP
2007
Springer
13 years 11 months ago
Quality Controlled Multimodal Fusion of Biometric Experts
Abstract. The quality of biometric samples used by multimodal biometric experts to produce matching scores has a significant impact on their fusion. We address the problem of qual...
Omolara Fatukasi, Josef Kittler, Norman Poh
TIFS
2010
137views more  TIFS 2010»
13 years 7 hour ago
On the dynamic selection of biometric fusion algorithms
Biometric fusion consolidates the output of multiple biometric classifiers to render a decision about the identity of an individual. We consider the problem of designing a fusion s...
Mayank Vatsa, Richa Singh, Afzel Noore, Arun Ross
ICPR
2010
IEEE
13 years 3 months ago
On the Fusion of Periocular and Iris Biometrics in Non-ideal Imagery
Human recognition based on the iris biometric is severely impacted when encountering non-ideal images of the eye characterized by occluded irises, motion and spatial blur, poor co...
Damon L. Woodard, Shrinivas J. Pundlik, Philip E. ...
MMM
2009
Springer
187views Multimedia» more  MMM 2009»
14 years 2 months ago
Evidence Theory-Based Multimodal Emotion Recognition
Automatic recognition of human affective states is still a largely unexplored and challenging topic. Even more issues arise when dealing with variable quality of the inputs or aim...
Marco Paleari, Rachid Benmokhtar, Benoit Huet
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