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. 2013 Nov 5;13(11):15048-67.
doi: 10.3390/s131115048.

Finger-vein verification based on multi-features fusion

Affiliations

Finger-vein verification based on multi-features fusion

Huafeng Qin et al. Sensors (Basel). .

Abstract

This paper presents a new scheme to improve the performance of finger-vein identification systems. Firstly, a vein pattern extraction method to extract the finger-vein shape and orientation features is proposed. Secondly, to accommodate the potential local and global variations at the same time, a region-based matching scheme is investigated by employing the Scale Invariant Feature Transform (SIFT) matching method. Finally, the finger-vein shape, orientation and SIFT features are combined to further enhance the performance. The experimental results on databases of 426 and 170 fingers demonstrate the consistent superiority of the proposed approach.

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Figures

Figure 1.
Figure 1.
Block diagram for personal identification using finger-vein images.
Figure 2.
Figure 2.
Eight directions of a pixel.
Figure 3.
Figure 3.
Matching results of SIFT features for finger-vein images from a same person. (a) Feature points obtained by original SIFT method; (b) Feature points obtained by improved method; (c) The sub-regions for two pairs of matching points.
Figure 4.
Figure 4.
Sample results from different feature extraction methods: (a) Finger-vein images from two databases (Top left image from database A and bottom left image from database B); (b) Vein pattern from maximum curvature; (c) Vein pattern from mean curvature; (d) Even Gabor with Morphological; (e) Vein pattern from difference curvature; and (f) Orientation pattern from difference curvature.
Figure 5.
Figure 5.
Receiver operating characteristics from finger-vein images (Database A). (a) Index-finger (b) Middle-finger (c) Ring-finger (d) Index-finger, middle-finger and ring-finger images.
Figure 6.
Figure 6.
Receiver operating characteristics from finger-vein images (Database B). (a) Left index-finger (b) Right index-fingers (c) Left and right index-fingers.
Figure 7.
Figure 7.
Receiver operating characteristics from two databases for finger-vein shape images with different matching approaches.

References

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