Fusion of Facial Regions Using Color Information in a Forensic Scenario

  • Pedro Tome
  • Ruben Vera-Rodriguez
  • Julian Fierrez
  • Javier Ortega-Garcia
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8259)

Abstract

This paper reports an analysis of the benefits of using color information on a region-based face recognition system. Three different color spaces are analysed (RGB, YCbCr, lαβ) in a very challenging scenario matching good quality mugshot images against video surveillance images. This scenario is of special interest for forensics, where examiners carry out a comparison of two face images using the global information of the faces, but paying special attention to each individual facial region (eyes, nose, mouth, etc.). This work analyses the discriminative power of 15 facial regions comparing both the grayscale and color information. Results show a significant improvement of performance when fusing several regions of the face compared to just using the whole face image. A further improvement of performance is achieved when color information is considered.

Keywords

Face recognition facial regions forensics color information facial components video surveillance at a distance 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Pedro Tome
    • 1
  • Ruben Vera-Rodriguez
    • 1
  • Julian Fierrez
    • 1
  • Javier Ortega-Garcia
    • 1
  1. 1.Biometric Recognition Group-ATVS, EPSUniversidad Autonoma de MadridMadridSpain

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