Journal of
Engineering and Technology Research

  • Abbreviation: J. Eng. Technol. Res.
  • Language: English
  • ISSN: 2006-9790
  • DOI: 10.5897/JETR
  • Start Year: 2009
  • Published Articles: 198

Full Length Research Paper

Face recognition using multiple eigenface subspaces

P. Aishwarya1* and Karnan Marcus2
  1Department of Computer Science and Engineering, Atria Institute of Technology, Bangalore – 24, India. 2Department of Computer Science and Engineering, Tamil Nadu College of Engineering, Coimbatore, India.
Email: [email protected]

  •  Accepted: 14 June 2010
  •  Published: 31 August 2010



Face recognition is grabbing more attention in the area of network information access. Areas such as network security and content retrieval benefit from face recognition technology. In the proposed method, multiple face eigensubspaces are created, with each one corresponding to one known subject privately, rather than all individuals sharing one universal subspace as in the traditional eigenface method. Compared with the traditional single subspace face representation, the proposed method captures the extra personal difference to the most possible extent, which is crucial to distinguish between individuals, and on the other hand, it throws away the most intrapersonal difference and noise in the input. Our experiments strongly support the proposed idea, in which 20% improvement of performance over the traditional “eigenface” has been observed when tested on the same face base.


Key words: Face recognition, eigenspace, subspaces.