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Proceedings Paper

Infrared face recognition based on modified blood perfusion model and 2DLDA in DWT domain
Author(s): Shiqian Wu; Wei Liang; Zhijun Fang; Jucheng Yang; Jiasheng Yuan
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Paper Abstract

A efficient method for infrared face recognition by modified blood perfusion model of human face and 2DLDA in DWT domain is proposed. Then we demonstrate from the theoretical that the 2DLDA subspace projection result remains the same with the original data are transformed using the wavelet transformation. The experiments conducted illustrate that the method proposed in this paper has better performance. While the recognition rate wasn't decrease based on modified blood perfusion model compared to blood perfusion model obviously and have even lightly improved in some cases.

Paper Details

Date Published: 30 October 2009
PDF: 8 pages
Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 74954C (30 October 2009); doi: 10.1117/12.832928
Show Author Affiliations
Shiqian Wu, Jiangxi Univ. of Finance and Economics (China)
Wei Liang, Jiangxi Univ. of Finance and Economics (China)
Zhijun Fang, Jiangxi Univ. of Finance and Economics (China)
Jucheng Yang, Jiangxi Univ. of Finance and Economics (China)
Jiasheng Yuan, Jiangxi Univ. of Finance and Economics (China)


Published in SPIE Proceedings Vol. 7495:
MIPPR 2009: Automatic Target Recognition and Image Analysis
Tianxu Zhang; Bruce Hirsch; Zhiguo Cao; Hanqing Lu, Editor(s)

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