An Efficient Illumination Normalization Method with Fuzzy LDA Feature Extractor for Face Recognition

Journal Title: International Journal of Modern Engineering Research (IJMER) - Year 2012, Vol 2, Issue 1

Abstract

 Nearest Neighbour classifier , Support Vector Machines (SVM) and Feedforward Neural  Network(FFNN).The experiments were performed on the ORL (Olivetti Research Laboratory) and Yale face image databases and the results show the present method with SVM classifier outweighs other techniques applied on the same database and reported in literature.

Authors and Affiliations

Behzad Bozorgtabar, Hamed Azami

Keywords

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  • EP ID EP147496
  • DOI -
  • Views 117
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How To Cite

Behzad Bozorgtabar, Hamed Azami (2012).  An Efficient Illumination Normalization Method with Fuzzy LDA Feature Extractor for Face Recognition. International Journal of Modern Engineering Research (IJMER), 2(1), 60-65. https://europub.co.uk/articles/-A-147496