Face identification based on Contrast Limited Adaptive Histogram Equalization (CLAHE)

Gibran Benitez-Garcia, Jesus Olivares-Mercado, Gualberto Aguilar-Torres, Gabriel Sanchez-Perez, Hector Perez-Meana

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

4 Scopus citations

Abstract

This paper proposes a face identification method based on Contrast Limited Adaptive Histogram Equalization (CLAHE) robust to facial expressions, occlusion and specially to illumination changes. Based on Eigenphases algorithm for feature extraction, the Principal Components Analysis (PCA) and the Phase Spectrum was used as feature extraction stage, and Support Vector Machine (SVM) as a classifier. The results were obtained using a database that includes face images of 120 subjects (60 males and 60 females) with illumination changes, facial expressions and partial occlusion. The proposed method provides results with a correct recognition up to 97%.

Original languageEnglish
Title of host publicationProceedings of the 2011 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2011
Pages363-369
Number of pages7
StatePublished - 2011
Externally publishedYes
Event2011 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2011 - Las Vegas, NV, United States
Duration: 18 Jul 201121 Jul 2011

Publication series

NameProceedings of the 2011 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2011
Volume1

Conference

Conference2011 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2011
Country/TerritoryUnited States
CityLas Vegas, NV
Period18/07/1121/07/11

Keywords

  • CLAHE
  • Eigenphases and SVM
  • Face identification

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