Skip to main navigation Skip to search Skip to main content

Combination of user- and enrollee-specific statistical information in verification systems

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Instead of using matching scores between single enrolled and single test (or user) template, the matching scores related to all test templates or all enrolled ones can be considered to enhance the performance of biometric systems. The user-specific methods take into account the dependencies of matching scores assigned to different enrollees being matched to one test template. On the other hand, enrolled template specific methods consider the relationship among matching scores between different user inputs and one enrolled template. In this paper, we consider the combination of user and enrollee specific statistical information by utilizing various statistical models. The experiments show that the combination of user and enrollee specific methods can further improve the performance of both unimodal and multimodal biometric systems compared to solely using either user or enrollee specific models.

Original languageEnglish
Title of host publication2011 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2011
PublisherIEEE Computer Society
Pages126-131
Number of pages6
ISBN (Print)9781457705298
DOIs
StatePublished - 2011
Event2011 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2011 - Colorado Springs, CO, United States
Duration: Jun 20 2011Jun 25 2011

Publication series

NameIEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops

Conference

Conference2011 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2011
Country/TerritoryUnited States
CityColorado Springs, CO
Period06/20/1106/25/11

Fingerprint

Dive into the research topics of 'Combination of user- and enrollee-specific statistical information in verification systems'. Together they form a unique fingerprint.

Cite this