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An Iris Image Synthesis Method Based on PCA and Super-Resolution

9 years 6 months ago
An Iris Image Synthesis Method Based on PCA and Super-Resolution
It is very important for the performance evaluation of iris recognition algorithms to construct very large iris databases. However, limited by the real conditions, there are no very large common iris databases now. In this paper, an iris image synthesis method based on Principal Component Analysis (PCA) and super-resolution is proposed. The iris recognition algorithm based on PCA is first introduced and then, iris image synthesis method is presented. The synthesis method first constructs coarse iris images with the given coefficients. Then, synthesized iris images are enhanced using super-resolution. Through controlling the coefficients, we can create many iris images with specified classes. Extensive experiments show that the synthesized iris images have satisfactory cluster and the synthesized iris databases can be very large.
Jiali Cui, JunZhou Huang, Tieniu Tan, Yunhong Wang
Added 09 Nov 2009
Updated 09 Nov 2009
Type Conference
Year 2004
Where ICPR
Authors Jiali Cui, JunZhou Huang, Tieniu Tan, Yunhong Wang, Zhenan Sun
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