Multi-Features Fusion Algorithm Based on NSCT for Face Recognition

Xiao Shan Liu

doi:10.4028/www.scientific.net/AMR.753-755.2967

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 753-755Multi-Features Fusion Algorithm Based on NSCT for...

Multi-Features Fusion Algorithm Based on NSCT for Face Recognition

Abstract:

A novel algorithm for face recognition is proposed. Firstly, illumination invariant feature of face image is exacted by the Nonsubsampled Contourlet Transform (NSCT) and small scale feature is exacted by the total variation model (LTV), respectively. Then the two type of features are fused into a new feature for face classification. The experimental results show that the proposed method can get very good effect in face recognition.

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Periodical:

Advanced Materials Research (Volumes 753-755)

Pages:

2967-2970

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.753-755.2967

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Online since:

August 2013

Authors:

Xiao Shan Liu

Keywords:

Face Recognition, Feature Exaction, Machine Vision, NSCT

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