Improving the accuracy of a score fusion approach based on likelihood ratio in multimodal biometric systems

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5716 LNCS, Issue , 2009, Pages 509-518

  Marasco, Emanuela ^a   Sansone, Carlo ^a  

^a UNIVERSITY OF NAPLES FEDERICO II   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

BIOMETRIC SYSTEMS; CLASSIFICATION ACCURACY; DATA SETS; FINITE GAUSSIAN MIXTURE MODELS; LIKELIHOOD RATIOS; LR-TEST; MATCH SCORE; MULTIBIOMETRIC SYSTEMS; MULTIMODAL BIOMETRIC SYSTEMS; MULTIMODAL DATABASE; MULTIPLE SOURCE; OPTIMAL COMBINATION; SCORE FUSION; SEQUENTIAL TESTS; UNIMODAL; VOTING STRATEGIES;

CLASSIFICATION (OF INFORMATION); ELECTRIC REACTORS; FEATURE EXTRACTION; IMAGE ANALYSIS; MAXIMUM LIKELIHOOD ESTIMATION;

BIOMETRICS;

EID: 76249122588     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04146-4_55     Document Type: Conference Paper

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