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. 2012;12(2):1738-57.
doi: 10.3390/s120201738. Epub 2012 Feb 9.

Finger vein recognition based on a personalized best bit map

Gongping Yang  1 , Xiaoming Xi, Yilong Yin
Affiliations

Finger vein recognition based on a personalized best bit map

Gongping Yang et al. Sensors (Basel). 2012.

Abstract

Finger vein patterns have recently been recognized as an effective biometric identifier. In this paper, we propose a finger vein recognition method based on a personalized best bit map (PBBM). Our method is rooted in a local binary pattern based method and then inclined to use the best bits only for matching. We first present the concept of PBBM and the generating algorithm. Then we propose the finger vein recognition framework, which consists of preprocessing, feature extraction, and matching. Finally, we design extensive experiments to evaluate the effectiveness of our proposal. Experimental results show that PBBM achieves not only better performance, but also high robustness and reliability. In addition, PBBM can be used as a general framework for binary pattern based recognition.

Keywords: Hamming distance; finger vein recognition; general framework; local binary pattern; personalized best bit map.

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Figures

Figure 1.
Figure 1.
Example of an LBP operator.
Figure 2.
Figure 2.
Examples of binary code.
Figure 3.
Figure 3.
Framework of the proposed method.
Figure 4.
Figure 4.
Examples of preprocessing.
Figure 5.
Figure 5.
The data capture device.
Figure 6.
Figure 6.
Sample finger vein images.
Figure 7.
Figure 7.
Genuine and imposter matching score distributions by LBP.
Figure 8.
Figure 8.
Genuine and imposter matching score distributions by PBBM.
Figure 9.
Figure 9.
ROC curves by different method.
Figure 10.
Figure 10.
Cumulative match curves by different methods.
Figure 11.
Figure 11.
ROC curves by different number of training samples.
Figure 12.
Figure 12.
Cumulative match curves by different number of training samples.
Figure 13.
Figure 13.
Histograms of the percentage by four training samples.
See this image and copyright information in PMC

References

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