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The influence of dataset quality on the results of behavioral biometric experiments

  • University of Patras

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

12 Citations (Scopus)

Abstract

This paper explores some aspects that are involved during the construction of reliable benchmark sample databases for novel behavioral biometric identification methods, such as the data quality, the recording patterns and the post processing procedures that may be applied on the data. A large collection of eye movement samples was employed as a test case. It was recorded under a variety of settings and processed with a number of different approaches. Our analysis reveals that there are specific features during the construction of a database that may significantly influence the final identification performance. It also leads on the establishment of some guidelines, which can be generalized on other behavioral biometric methods, regarding the factors that should be taken into consideration during the creation, the description and the processing of a database of biometric samples.

Original languageEnglish
Title of host publicationBIOSIG 2013 - Proceedings of the 12th International Conference of the Biometrics Special Interest Group
EditorsArslan Bromme, Christoph Busch
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9783885796060
Publication statusPublished - 27 Jan 2013
Event12th International Conference of the Biometrics Special Interest Group, BIOSIG 2013 - Darmstadt, Germany
Duration: 4 Sept 20136 Sept 2013

Publication series

NameBIOSIG 2013 - Proceedings of the 12th International Conference of the Biometrics Special Interest Group

Conference

Conference12th International Conference of the Biometrics Special Interest Group, BIOSIG 2013
Country/TerritoryGermany
CityDarmstadt
Period4/09/136/09/13

ASJC Scopus subject areas

  • Biomedical Engineering
  • Computer Networks and Communications
  • Computer Science Applications

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