An enhanced representation of thermal faces for improving local appearance-based face recognition

GABRIEL ENRIQUE HERMOSILLA VIGNEAU, Javier Ruiz-del-Solar, Rodrigo Verschae

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

This paper proposes a new methodology to improve appearance-based thermal face recognition methods by using an enhanced representation of the thermal face information. This new representation is obtained by combining the pixels of the thermal face image and the vascular network information that is extracted from the same thermal face image. The effect of using the enhanced representation is evaluated for 5 different face recognition methods (LBP, WLD, GABOR, SIFT, SURF) in two public thermal face databases (Equinox and UCHThermalFace). The experimental results show that the proposed enhanced representation improves the performance of most of the analyzed appearance-based methods. The largest improvements are obtained when this representation is used together with methods based on the Gabor Jet Descriptor (GJD), the Weber Linear Discriminant (WLD) and Speeded Up Robust Features (SURF). In general terms the improvement is larger in indoor setups than in outdoors.

Original languageEnglish
Pages (from-to)1-12
Number of pages12
JournalIntelligent Automation and Soft Computing
Volume23
Issue number1
DOIs
StatePublished - 2 Jan 2017

Keywords

  • Face recognition
  • thermal face recognition
  • unconstrained environments
  • vascular network

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