Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/18064
Title: Biometrics data analysis and fusion
Authors: Zhang, Zhou.
Keywords: DRNTU::Engineering
Issue Date: 2009
Abstract: A multimodal biometric system integrates information from multiple biometric sources to compensate for the limitations in performance of each individual biometric system. Although this information integration in a multimodal system can be performed at various levels, fusion at the matching score level is the most common approach due to the ease in accessing and combining the scores generated by different matchers. In this report, we compared four data fusion schemes for combining the matching scores from multiple modalities using the existent data set. Tanh‐estimators method is deployed to unify heterogeneous output from individual biometric in a common domain. Experiments demonstrate the improvement in adopting matching score fusion for multiple biometrics sources. Keywords: Biometric recognition, multimodal biometric systems, matching score fusion, Tanh‐estimators normalization method.
URI: http://hdl.handle.net/10356/18064
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
EA3093-081.pdf
  Restricted Access
956.59 kBAdobe PDFView/Open

Page view(s)

199
checked on Sep 26, 2020

Download(s)

3
checked on Sep 26, 2020

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.