Shadow compensation based on facial symmetry and image average for robust face recognition

Ping Cheng Hsieh, Pi Cheng Tung

Research output: Contribution to journalArticlepeer-review

18 Scopus citations

Abstract

In this paper, we propose a novel shadow compensation approach for face recognition under varying illumination. This approach based on facial symmetry and image average can solve the drawbacks of the conventional algorithms such as histogram equalization (HE) and region-based histogram equalization (RHE). Among others, the proposed approach has the following advantages: (1) it is very simple, so it is easily implemented in a real-time face recognition system; (2) it is able to reinforce key facial features and to standardize other parts of the face; and (3) it can apply directly to single face image without any prior information of light source direction. The experimental results reveal that the proposed approach has a rather excellent recognition performance.

Original languageEnglish
Pages (from-to)2708-2717
Number of pages10
JournalNeurocomputing
Volume73
Issue number13-15
DOIs
StatePublished - Aug 2010

Keywords

  • Face recognition
  • Facial symmetry
  • Histogram equalization (HE)
  • Illumination variation
  • Image average
  • Shadow compensation

Fingerprint

Dive into the research topics of 'Shadow compensation based on facial symmetry and image average for robust face recognition'. Together they form a unique fingerprint.

Cite this