SCUT-FVD: A Finger Vein Spoofing/Presentation Attack Database
SCUT FV Presentation Attack Database (hereinafter: SCUT FVD) is used for scientific research of finger vein recognition. It is collected by BIP Lab, School of Automation Science and Engineering, South China University of Technology(SCUT). Any one or group is allowed to use this database free of charge.
The data is split into 3 sub-groups comprising:
- Training data ("train"), to be used for training your anti-spoof classifier;
- Development data ("dev"), to be used for threshold estimation;
- Test data ("test"), with which to report error figures; Clients that appear in one of the data sets (train, dev or test) do not appear in any other set.
Images are labeled as follow: ID_finger_session_shot_light.bmp,
where “ID” stands for client's ID,
“finger” ranges from 1 to 6 standing for the index, middle and ring finger of right and left hand respectively,
“session” stands for session number which can be "0" or "1"
“shot” stands for the considered shot number ranging from 0 to 5,
and “light” stands for the level of light intensity which can be an integer between 1 and 6.
Images from the same client are regrouped into a single folder labeled.
NOTE: When processing these images, you only need to consider the first two label, i.e. “ID” and “finger”.
- Example of the nomenclature for the real images from the client #1:
*real/1/1_1_1_0_5.bmp
*real/1/1_1_1_1_5.bmp
*real/1/1_1_1_2_5.bmp
*real/1/1_1_1_3_5.bmp
*real/1/1_1_1_4_6.bmp
*real/1/1_1_1_5_5.bmp - Example of the nomenclature for the spoofing images from the client #1:
*spoof/1/1_1_0_0_3.bmp
*spoof/1/1_1_0_1_4.bmp
*spoof/1/1_1_0_2_3.bmp
*spoof/1/1_1_0_3_3.bmp
*spoof/1/1_1_0_4_3.bmp
*spoof/1/1_1_0_5_3.bmp
The SCUT-FVD is publicly available (free of charge) to the research community.
Unfortunately, due to privacy reasons, we cannot provide the database for commercial use.
Those interested in obtaining SCUT-FVD should download release agreement, and send by email one signed and scanned copy to [email protected].
While reporting results using the SCUT-FVD, please cite the following article:
@article{qiu2018finger,
title={Finger Vein Presentation Attack Detection Using Total Variation Decomposition},
author={Qiu, Xinwei and Kang, Wenxiong and Tian, Senping and Jia, Wei and Huang, Zhixing},
journal={IEEE Transactions on Information Forensics and Security},
volume={13},
number={2},
pages={465-477},
year={2018},
publisher={IEEE}
}
Qiu Xinwei
Biometrics and Intelligence Perception Lab.
College of Automation Science and Engineering
South China University of Technology
Wushan RD.,Tianhe District,Guangzhou,P.R.China,510641
[email protected]
Huang Zhixing
Biometrics and Intelligence Perception Lab.
College of Automation Science and Engineering
South China University of Technology
Wushan RD.,Tianhe District,Guangzhou,P.R.China,510641
[email protected]
Prof. Kang Wenxiong
Biometrics and Intelligence Perception Lab.
College of Automation Science and Engineering
South China University of Technology
Wushan RD.,Tianhe District,Guangzhou,P.R.China,510641
[email protected]