| MFFV-N |
This dataset was collected from 320 fingers of 210 volunteers and contains a total of 172,800 images. |
2024 |
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SCUT BIP Lab |
| THUMVFV-3V |
A multi-view finger vein database collected over two sessions with an average interval of 45.8 days, includes 660 classes with 12 samples per class. |
2023 |
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THU |
| FVFV(Full-view finger-vein database) |
1280 videos (8 videos * 2 fingers * 80 subjects), with each video of 60 images. |
2022 |
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Chongqing University of Posts and Telecommunications(Huafeng Qin Group) |
| LFMB-3DFB |
This dataset utilized a novel multi-view, multispectral 3D finger imaging system to collect data from 695 fingers. |
2021 |
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South China University of Technology |
| PLUSVein |
The database consists of 3 subsets, covering both finger vein and hand vein images. The original images have a resolution of 1280×1024 pixels. |
2019 |
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WaveLab |
| VERA FingerVein |
The dataset consists of 440 NIR Bona-Fide images from 110 clients captured using an Open Sensor. |
2015 |
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University of Cagliari |
| FV-USM |
It contains 5904 images from 492 finger classes. The depth resolution of the captured finger images were 640 x 480. |
2014 |
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Universiti Sains Malaysia |
| UTFVP Fingervein Database |
It consists of 1300 images from 60 clients. |
2014 |
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University of Twente |
| THU-FVFDT3 |
THU-FVFDT3 contains 610*16 raw finger vein and finger dorsal texture images of THU-FVFDT2. |
2014 |
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THU |
| THU-FVFDT2 |
It contains Regions of Interest(ROI) of finger vein and finger dorsal texture from 610 different subjects. Each ROI is normalized to 200*100 pixels. |
2014 |
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THU |
| MMCBNU_6000 |
It contains 6,000 images with a resolution of 480×640 in “bmp” format. |
2013 |
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Beijing Normal University |
| The Hong Kong Polytechnic University finger image database |
The currently available database has 6264 images from the 156 subjects. |
2012 |
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The Hong Kong Polytechnic University |
| THU-FVFDT1 |
It contains raw finger vein and finger dorsal texture images of 220 different subjects. The size of raw images is 720*576 pixels. |
2012 |
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THU |
| SDUMLA-HMT |
The database is composed of 3,816 images. Every image is stored in “bmp” format with 320×240 pixels in size. |
2011 |
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Shandong University |