A comparative analysis of Zernike moments and principal component analysis as feature extractors for face recognition

Abd Jalil Nor’aini, P. Raveendran, N. Selvanathan

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

7 Citations (Scopus)


This paper describes the comparison between Principal component analysis (PCA) also known as eigenfaces and Zernike moments (ZM) as feature extractors, used in face recognition. These feature extraction methods are still being research until today even though the techniques may either be hybrid or fusion. The study look into the capability of these two feature extraction methods to recognize face due to changes in illumination condition, pose, facial expression and others. The experiment carried out utilizes the earliest eigenfaces technique adopted from Turk and Pentland [1] and ZM polynomials [2]. The classification technique employed in the recognition stage is a simple Euclidean square distance classifier or nearest neighbor (NN). The experiments utilized database face images from Olivetti research laboratory (ORL) consisting of 40 subjects of 10 images each where none of them are identical [3]. They vary in position, rotation, scale and expression, with and without glasses. From the comparative study, the outstanding feature extraction method is considered for face recognition system.

Original languageEnglish
Title of host publication3rd Kuala Lumpur International Conference on Biomedical Engineering 2006
EditorsFatimah Ibrahim, Noor Azuan Abu Osman, Juliana Usman, Nahrizul Adib Kadri
Number of pages5
ISBN (Electronic)9783540680161
Publication statusPublished - 2007
Externally publishedYes
EventKuala Lumpur International Conference on Biomedical Engineering (BIOMED) 2006 - Palace of the Golden Horses, Kuala Lumpur, Malaysia
Duration: 11 Dec 200614 Dec 2006
Conference number: 3rd
https://link.springer.com/book/10.1007%2F978-3-540-68017-8 (Proceedings)

Publication series

NameIFMBE Proceedings
ISSN (Print)1680-0737
ISSN (Electronic)1433-9277


ConferenceKuala Lumpur International Conference on Biomedical Engineering (BIOMED) 2006
Abbreviated titleBIOMED 2006
CityKuala Lumpur
Internet address


  • Eigenface
  • Nearest neighbor
  • Orthogonal moment
  • Principle component analysis
  • Zernike moments

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