[引用][C] Corrigendum to" A user-specific and selective multimodal biometric fusion strategy by ranking subjects" Pattern Recognition 46 (2013) 3341-3357
Corrigendum to "A user-specific and selective multimodal biometric fusion strategy by ranking
subjects" Pattern Recognition 46 (2013) 3341-3357 | Pattern Recognition skip to main content …
subjects" Pattern Recognition 46 (2013) 3341-3357 | Pattern Recognition skip to main content …
Classifier combining rules under independence assumptions
Classifier combining rules are designed for the fusion of the results from the component
classifiers in a multiple classifier system. In this paper, we firstly propose a theoretical …
classifiers in a multiple classifier system. In this paper, we firstly propose a theoretical …
Post-processing of classifier outputs in multiple classifier systems
H Altinçay, M Demirekler - International Workshop on Multiple Classifier …, 2002 - Springer
Incomparability in classifier outputs due to the variability in their scales is a major problem in
the combination of different classification systems. In order to compensate this, output …
the combination of different classification systems. In order to compensate this, output …
[PDF][PDF] Identification of a person using multimodal biometric system
TC Sabareeswari, S Stuwart - International Journal of Computer …, 2010 - Citeseer
ABSTRACT A biometric identification system is an automatic pattern recognition system that
recognizes a person by determining the authenticity of a specific physiological and/or …
recognizes a person by determining the authenticity of a specific physiological and/or …
Incorporating ancillary information in multibiometric systems
Information fusion in a multibiometric system can be accomplished at the sensor, feature,
match score, rank, or decision levels. Depending on the level of fusion, inputs to the fusion …
match score, rank, or decision levels. Depending on the level of fusion, inputs to the fusion …
Multiple classifier systems: Software engineered, automatically modular leading to a taxonomic overview
D Partridge, N Griffith - Pattern Analysis & Applications, 2002 - Springer
One vigorous branch of research aimed at improving the performance of pattern recognition
systems explores the possibilities for exploiting the differences between a set of variously …
systems explores the possibilities for exploiting the differences between a set of variously …
EER of fixed and trainable fusion classifiers: A theoretical study with application to biometric authentication tasks
Biometric authentication is a process of verifying an identity claim using a person's
behavioural and physiological characteristics. Due to the vulnerability of the system to …
behavioural and physiological characteristics. Due to the vulnerability of the system to …
Multiple classifier systems: theory, applications and tools
Abstract In many Pattern Recognition applications, the achievement of acceptable
recognition rates is conditioned by the large pattern variability, whose distribution cannot be …
recognition rates is conditioned by the large pattern variability, whose distribution cannot be …
Levels of fusion in biometrics
One of the most fundamental issues in an information fusion system is to determine the type
of information that should be consolidated by the fusion module. As indicated earlier, there is …
of information that should be consolidated by the fusion module. As indicated earlier, there is …
Score fusion in multibiometric identification based on fuzzy set theory
K Fakhar, M El Aroussi, MN Saidi… - Image and Signal …, 2012 - Springer
Multimodal biometric systems consolidate or fuse information from multiple biometric
sources. They have been developed to overcome several limitations of each individual …
sources. They have been developed to overcome several limitations of each individual …