An optimized multimodal biometric system with hierachical classifiers and reduced features

The paper presents an optimized multimodal biometric system for identification applications. This solution is based on innovative and computational-efficient biometric data hierarchical classifiers (with detection and discrimination stages) and also with a post-classification fusion. The detection-b...

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Bibliographic Details
Published in2014 IEEE International Symposium on Medical Measurements and Applications (MeMeA) pp. 1 - 6
Main Authors Soviany, Sorin, Puscoci, Sorin
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2014
Subjects
Accuracy
Detectors
Fingerprint recognition
hierarchical classifier
identification
Iris recognition
rejection threshold
Security
Training
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Summary:The paper presents an optimized multimodal biometric system for identification applications. This solution is based on innovative and computational-efficient biometric data hierarchical classifiers (with detection and discrimination stages) and also with a post-classification fusion. The detection-based classification is very suitable for applications with several security levels in which the end-users have various authorization degrees. The proposed solution supports an optimal trade-off between the identification accuracy and the computational complexity, which is important for the medium- and large-scale identification biometric applications.
DOI:10.1109/MeMeA.2014.6860060