Experimental Evaluation of Matching-Score Normalization Techniques on Different Multimodal Biometric Systems

The goal of this work is the experimental evaluation of matching-score normalization techniques for the following three multimodal biometric systems: a verification system based on the fusion of face and palmprint principal line features, an identification system based on eigenfingers and finger-geo...

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Bibliographic Details
Published in:MELECON 2006 - 2006 IEEE Mediterranean Electrotechnical Conference pp. 498 - 501
Main Authors: Ribaric, S., Fratric, I.
Format: Conference Proceeding
Language:English
Published: IEEE 2006
Subjects:
Biometrics
Biosensors
Error analysis
Fuses
Impedance matching
Sensor fusion
Statistical distributions
System performance
System testing
ISBN:9781424400874, 1424400872
ISSN:2158-8473
Online Access:Get full text
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Summary:The goal of this work is the experimental evaluation of matching-score normalization techniques for the following three multimodal biometric systems: a verification system based on the fusion of face and palmprint principal line features, an identification system based on eigenfingers and finger-geometry, and an identification system based on eigenpalm and eigenfinger features. The following normalization techniques are tested: Bayes-based normalization and several heuristic techniques (min-max, z-score, median-MAD, double-sigmoid, tanh, and piecewise-linear). The results of evaluation are represented by means of system performance (expressed by ROC, EER and minTER) and F-statistics
ISBN:9781424400874
1424400872
ISSN:2158-8473
DOI:10.1109/MELCON.2006.1653147