Finger vein recognition with manifold learning

@article{Liu2010FingerVR,
  title={Finger vein recognition with manifold learning},
  author={Zhi Liu and Yilong Yin and Hongjun Wang and Shangling Song and Qingli Li},
  journal={J. Network and Computer Applications},
  year={2010},
  volume={33},
  pages={275-282}
}
Finger vein is a promising biometric pattern for personal identification in terms of its security and convenience. However, so residual information, such as shade produced by various thicknesses of the finger muscles, bones, and tissue networks surrounding the vein, are also captured in the infrared images of finger vein. Meanwhile, the pose variation of the finger may also cause failure to recognition. In this paper, for the first time, we address this problem by unifying manifold learning and… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-10 of 27 references

Manifold-Manifold Distance with application to face recognition based on image set

2008 IEEE Conference on Computer Vision and Pattern Recognition • 2008
View 4 Excerpts
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Principal Component Analysis

International Encyclopedia of Statistical Science • 2011
View 2 Excerpts

A study of finger vein biometric for personal identification

2008 International Symposium on Biometrics and Security Technologies • 2008
View 1 Excerpt

Image understanding for iris biometrics: A survey

Computer Vision and Image Understanding • 2008
View 2 Excerpts

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