Imaging of the Finger Vein and Blood Flow for Anti-Spoofing Authentication Using a Laser and a MEMS Scanner
<p>Finger vein imaging system using a near-infrared (NIR) laser and a Micro Electro Mechanical Systems (MEMS) scanner.</p> "> Figure 2
<p>IR sensor images (12.5 mm × 12.5 mm) of an index finger vein using (<b>a</b>) the LED array, and (<b>b</b>) the laser with the MEMS scanner; the circular dots represent the detected maximum values of the curvature on the vein image.</p> "> Figure 3
<p>Intensity profile measured along segments A-A’.</p> "> Figure 4
<p>Curvature and score values in the cross-sectional profile for (<b>a</b>) the LED array, and (<b>b</b>) the VILS.</p> "> Figure 5
<p>Images of the finger vein in (<b>a</b>) perfusion and (<b>b</b>) occlusion, and images of the blood flow in (<b>c</b>) perfusion and (<b>d</b>) occlusion.</p> "> Figure 6
<p>Curvatures of (<b>a</b>) finger vein and (<b>b</b>) blood flow pattern in the cross-sectional profile (B-B’).</p> ">
Abstract
:1. Introduction
2. Finger Vein Imaging
2.1. Operation Principle
2.2. Quantification and Results
3. Blood Flow Detection
3.1. Operation Principle
3.2. Blood Flow Image Extraction
3.3. Quantification and Results
4. Conclusions
Acknowledgments
Author Contributions
Conflicts of Interest
References
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LED | VILS | |||||
---|---|---|---|---|---|---|
Vein Number | Width (Wv) | Curvature (Pc) | Score (Pc × Wv) | Width (Wv) | Curvature (Pc) | Score (Pc × Wv) |
1 | 0.8631 | 0.0113 | 0.0098 | 0.6016 | 0.0542 | 0.0326 |
2 | 0.6677 | 0.0695 | 0.0464 | 0.3772 | 0.0916 | 0.0346 |
3 | 0.7591 | 0.0953 | 0.0724 | 0.9113 | 0.1086 | 0.0990 |
4 | 0.2739 | 0.0392 | 0.0107 | 0.2773 | 0.0270 | 0.0075 |
5 | 0.6197 | 0.0921 | 0.0571 | 0.5173 | 0.1979 | 0.1024 |
6 | 0.2909 | 0.0264 | 0.0077 | 0.2765 | 0.0316 | 0.0087 |
7 | 0.5439 | 0.0713 | 0.0388 | 0.6535 | 0.1622 | 0.1060 |
8 | 0.4911 | 0.0205 | 0.0101 | 0.0594 | 0.0045 | 0.0003 |
Curvature | ||||
---|---|---|---|---|
Repeatability Test | Vein Positions | Blood flow (Cb) | Finger vein (Cv) | Liveness index (Li = Cb/Cv) |
1st | I | 1.934 × 10−2 | 1.697 × 10−4 | 114.0 |
II | 2.004 × 10−2 | 1.709 × 10−4 | 117.3 | |
2nd | I | 1.770 × 10−2 | 1.546 × 10−4 | 114.4 |
II | 2.197 × 10−2 | 1.999 × 10−4 | 109.9 | |
3rd | I | 1.127 × 10−2 | 1.003 × 10−4 | 112.4 |
II | 3.233 × 10−2 | 2.916 × 10−4 | 110.9 | |
Average | 113.2 |
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Lee, J.; Moon, S.; Lim, J.; Gwak, M.-J.; Kim, J.G.; Chung, E.; Lee, J.-H. Imaging of the Finger Vein and Blood Flow for Anti-Spoofing Authentication Using a Laser and a MEMS Scanner. Sensors 2017, 17, 925. https://doi.org/10.3390/s17040925
Lee J, Moon S, Lim J, Gwak M-J, Kim JG, Chung E, Lee J-H. Imaging of the Finger Vein and Blood Flow for Anti-Spoofing Authentication Using a Laser and a MEMS Scanner. Sensors. 2017; 17(4):925. https://doi.org/10.3390/s17040925
Chicago/Turabian StyleLee, Jaekwon, Seunghwan Moon, Juhun Lim, Min-Joo Gwak, Jae Gwan Kim, Euiheon Chung, and Jong-Hyun Lee. 2017. "Imaging of the Finger Vein and Blood Flow for Anti-Spoofing Authentication Using a Laser and a MEMS Scanner" Sensors 17, no. 4: 925. https://doi.org/10.3390/s17040925
APA StyleLee, J., Moon, S., Lim, J., Gwak, M. -J., Kim, J. G., Chung, E., & Lee, J. -H. (2017). Imaging of the Finger Vein and Blood Flow for Anti-Spoofing Authentication Using a Laser and a MEMS Scanner. Sensors, 17(4), 925. https://doi.org/10.3390/s17040925