Face recognition under bad illumination conditions

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Accurate face recognition in variable illumination environments has attracted the attention of the researchers in recent years, because there are many applications in which these systems must operate under uncontrolled lighting conditions. To this end, several face recognition algorithms have been proposed which include an image enhancement stage before performing the recognition task. However, although the image enhancement stage may improve the performance, it also increases the computational complexity of face recognition algorithms. Because this fact may limit their use in some practical applications, recently some algorithms have been developed that intend to provide enough robustness under variable illumination conditions without requiring an image enhancement stage. Among them, the local binary pattern and eigenphasesbased schemes are two of the most successful ones. This paper presents an analysis of the recognition performance of these approaches under varying illumination conditions, with and without image enhancement preprocessing stages. Evaluation results show the robustness of both approaches when they are required to operate in illumination varying environments.

Original languageEnglish
Title of host publicationIntelligent Software Methodologies, Tools and Techniques - 14th International Conference, SoMeT 2015, Proceedings
EditorsHamido Fujita, Guido Guizzi
PublisherSpringer Verlag
Pages506-516
Number of pages11
ISBN (Print)9783319226880
DOIs
StatePublished - 2015
Event14th International Conference on New Trends in Intelligent Software Methodology, Tools, and Techniques, SoMeT 2015 - Naples, Italy
Duration: 15 Sep 201517 Sep 2015

Publication series

NameCommunications in Computer and Information Science
Volume532
ISSN (Print)1865-0929

Conference

Conference14th International Conference on New Trends in Intelligent Software Methodology, Tools, and Techniques, SoMeT 2015
Country/TerritoryItaly
CityNaples
Period15/09/1517/09/15

Keywords

  • Face recognition
  • Filters
  • Image analysis
  • Retinex theory

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