Fusing horizontal and vertical components of face images for identity verification

Beom Seok Oh, Byung Gue Choi, Kar Ann Toh

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

4 Citations (Scopus)

Abstract

This paper presents an empirical investigation of two sparse random projections which correspond to extraction of vertical and horizontal features from a face image for identity verification. In order to enhance the performance of each projection, the matching scores of both directional features are fused via a Total Error Rate minimization. The BERC face database is used for evaluating the effectiveness of the proposed method. Our empirical results show that the proposed vertical projection outperforms the commonly used PCA and a Random Projection algorithm in terms of the Equal Error Rate (EER) measure. The result of fusion shows an even better EER performance than that from each individual projection.

Original languageEnglish
Title of host publication2009 4th IEEE Conference on Industrial Electronics and Applications, ICIEA 2009
Pages651-655
Number of pages5
DOIs
Publication statusPublished - 2009
Event2009 4th IEEE Conference on Industrial Electronics and Applications, ICIEA 2009 - Xi'an, China
Duration: 2009 May 252009 May 27

Publication series

Name2009 4th IEEE Conference on Industrial Electronics and Applications, ICIEA 2009

Other

Other2009 4th IEEE Conference on Industrial Electronics and Applications, ICIEA 2009
CountryChina
CityXi'an
Period09/5/2509/5/27

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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  • Cite this

    Oh, B. S., Choi, B. G., & Toh, K. A. (2009). Fusing horizontal and vertical components of face images for identity verification. In 2009 4th IEEE Conference on Industrial Electronics and Applications, ICIEA 2009 (pp. 651-655). [5138286] (2009 4th IEEE Conference on Industrial Electronics and Applications, ICIEA 2009). https://doi.org/10.1109/ICIEA.2009.5138286