Referenced Items are not available for this document.
A multimodal part face recognition method based on principal component analysis (MMP-PCA) is presented. Five kinds of parts are dealt with by PCA to obtain eigenface, eigeneyebrow, eigeneye, eigennose and eigenmouth. Thirty-one kinds of different face recognition models are created by using combinations of different parts. The recognition rates of 17 models among them are given.
Published in:
Electronics Letters
(Volume:38
,
Issue:
25
)
Date of Publication: 5 Dec 2002
- Page(s):
- 1654 - 1656
- ISSN :
- 0013-5194
- INSPEC Accession Number:
- 7484338
- Digital Object Identifier :
- 10.1049/el:20021033
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 06 January 2003
- Issue Date :
- 5 Dec 2002
- Sponsored by :
- Institution of Engineering and Technology
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