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ASME Press Select Proceedings

International Conference on Computer Engineering and Technology, 3rd (ICCET 2011)

By
Jianhong Zhou
Jianhong Zhou
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ISBN:
9780791859735
No. of Pages:
970
Publisher:
ASME Press
Publication date:
2011

The contribution of this paper is to improve the face recognition rate by applying two-dimensional Discrete Wavelet Transform (2DWT) subband coefficients to reduce the high dimensional image into low dimensional image. The Principal Component Analysis (PCA) is being applied to find the face recognition accuracy rate, using ORL image database. A comparison between the PCA, first subband level 2DWT/PCA and second subband level 2DWT/PCA have being evaluated according to the recognition accuracy, dimensional reduction, computing complexity and multi-resolution data approximation is being done. The ORL database includes 40 individuals' faces, each with 10 images (112×92). According to the experimental result,...

Abstract
Key Words
1. Introduction
2. Principle Component Analysis (PCA)
3. Discrete Wavelet Transforms
4. Experimental Result and Analysis
5. Conclusion
References
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