Tsinghua University Finger Vein and Finger Dorsal Texture Database（THU-FVFDT）
THU-FVFDT1 contains raw finger vein and finger dorsal texture images of 220 different subjects. It was named by THU-FVFDT before 2014-06-09. The majority of the subjects are students and staff volunteers from Graduate School at Shenzhen, Tsinghua University. Images are captured in two different sessions with interval of about dozens of seconds. One session is for training and the other for testing. Four finger vein images and four finger dorsal texture images are captured simultaneously in each session. We only offer one of four images in that there is approximately no difference between them. The size of raw images is 720×576 pixels.
THU-FVFDT2 contains Regions of Interest (ROIs) of finger vein and finger dorsal texture from 610 different subjects, the first 220 ROIs of which are extracted from THU-FVFDT1. The last 390 ROIs are captured in two different sessions with interval ranging from about three days to one week. One session is for training and the other for testing. Each ROI is normalized to 200*100 pixels. The majority of the subjects are students and staff volunteers from Graduate School at Shenzhen, Tsinghua University.
THU-FVFDT3 contains 610*16 raw finger vein and finger dorsal texture images of THU-FVFDT2. The images are all grayscale in considerarion of equal value in three channels of the raw color images except capture time displayed on top left corner.
1.Three invalid images in the folder FV3_Test/597/ were updated by adding different level Gaussian noise into ‘1.bmp’ (zero mean and 0.001 variance for ‘2.bmp’, zero mean and 0.002 variance for ‘3.bmp’, zero mean and 0.004 variance for ‘4.bmp’) on Dec. 13, 2019.
2.An invalid image ‘FV3_Train/1/2.bmp’ was updated by flipping on Dec. 13, 2019.
FV3_Test.zip FV3_Train.zip FDT3_Test.zip FDT3_Train.zip
All rights of the THU-FVFDT Database are reserved. The database is only available for academic research and noncommercial purposes. Any commercial uses of this database are strictly prohibited.
Please download ZIP files and sign on the license agreement. Then, send the license agreement to firstname.lastname@example.org. The successful applicants will receive the passwords for unzipping the downloaded files.
Wenming Yang, Associate Professor
Visual Information Processing Lab. (VIP Lab.)
Department of Electronics Engineering/Graduate School at Shenzhen Tsinghua University
Tsinghua campus, the university town of Xili, Nanshan District, Shenzhen, China
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 Yang W, Chen Z, Liao Q. Weighted sparse fusion for FV and FDT identification[C]//Tenth International Conference on Digital Image Processing (ICDIP 2018). International Society for Optics and Photonics, 2018, 10806: 108060R.
 Yang W, Yu X, Liao Q. Personal authentication using finger vein pattern and finger-dorsa texture fusion[C]//Proceedings of the 17th ACM international conference on Multimedia. ACM, 2009: 905-908.
 Yang W, Rao Q, Liao Q. Personal identification for single sample using finger vein location and direction coding[C]//2011 International Conference on Hand-Based Biometrics. IEEE, 2011: 1-6.
 Yang W, Huang X, Liao Q. Fusion of finger vein and finger dorsal texture for personal identification based on Comparative Competitive Coding[C]//2012 19th IEEE International Conference on Image Processing. IEEE, 2012: 1141-1144.
 Yang W, Ma G, Li W, et al. Finger vein verification based on neighbor pattern coding[J]. IEICE TRANSACTIONS on Information and Systems, 2013, 96(5): 1227-1229.
 Yang W, Huang X, Zhou F, et al. Comparative competitive coding for personal identification by using finger vein and finger dorsal texture fusion[J]. Information sciences, 2014, 268: 20-32.
 Yang W, Ma G, Zhou F, et al. Feature-level fusion of finger veins and finger dorsal texture for personal authentication based on orientation selection[J]. IEICE TRANSACTIONS on Information and Systems, 2014, 97(5): 1371-1373.