Referenced Items are not available for this document.
A new feature extraction method based on manifold learning is proposed for face recognition in the paper; its criterion function is characterized by maximizing the difference between the nonlocal scatter and the local scatter. The novel method is called two-directional two-dimensional marginal discriminant projection ((2D)2MDP), which simultaneously works image matrix in the row direction and in the column direction for feature extraction. The experimental results on ORL face databases indicate that the proposed method has higher recognition rate and more stable.
Published in:
Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on
(Volume:2
)
Date of Conference: 7-8 Nov. 2009
- Page(s):
- 370 - 374
- E-ISBN :
- 978-0-7695-3816-7
- Print ISBN:
- 978-1-4244-3835-8
- INSPEC Accession Number:
- 11058555
- Conference Location :
- Shanghai
- Digital Object Identifier :
- 10.1109/AICI.2009.436
- Product Type:
- Conference Publications
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