Direct extraction and fusion of image pixel features for face identity verification

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In this paper, we propose to adopt an entry-wise Hadamard-Schur (HS) product to extract facial information directly from raw face image pixels. With the goal of extracting relevant pixel features from each image, four different HS projection matrices which consist of directional binary patterns are proposed. Subsequently, the match score outputs from these four HS projections are fused via a total error rate minimization for performance enhancement. Our empirical experiments show encouraging performance in terms of verification accuracy.

Original languageEnglish
Title of host publicationIEEE 4th International Conference on Biometrics
Subtitle of host publicationTheory, Applications and Systems, BTAS 2010
DOIs
Publication statusPublished - 2010
Event4th IEEE International Conference on Biometrics: Theory, Applications and Systems, BTAS 2010 - Washington, DC, United States
Duration: 2010 Sep 272010 Sep 29

Publication series

NameIEEE 4th International Conference on Biometrics: Theory, Applications and Systems, BTAS 2010

Other

Other4th IEEE International Conference on Biometrics: Theory, Applications and Systems, BTAS 2010
CountryUnited States
CityWashington, DC
Period10/9/2710/9/29

All Science Journal Classification (ASJC) codes

  • Computational Theory and Mathematics
  • Theoretical Computer Science

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