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👏 CTBU-FV Dataset

1️⃣ CTBU Full Finger-Vien Dataset

A multi-view finger vein database. Contains 235 classes, each classes contains 10 3-second videos at 20 frames per second (3*20 sample images), 10 videos from different fingers on the left and right.

test.mp4

2️⃣ CTBU 2D Finger-Vien Dataset

There are 80 acquisition objects in total. Each object is collected for the left and right index fingers, and each finger is collected eight times. Each video can be converted into a sequence of 60 finger vein images. The rotation angle of two adjacent finger vein images is 6°.

Folder introduction:
FV-0: Full-view Finger Vein Images including 12 angles of 0°, 30°, ..., 330°;
FV-6: Simulated rotation Dataset, including Full-View Images of Finger Veins at angles of 6°, 36°, ..., 336°;
FV-12: Simulated rotation Dataset, including Full-View Images of Finger Veins at angles of 12°, 42°, ..., 342°;
FV-18: Simulated rotation Dataset, including Full-View Images of Finger Veins at angles of 18°, 48°, ..., 348°;
FV-24: Simulated rotation Dataset, including Full-View Images of Finger Veins at angles of 24°, 54°, ..., 354°;

FV-test

💥 News

[2024.3.4] We have now released our eye movement database! CTBU-EMglasses-Database. You can find in this link. here

✅ Download

Send the License Agreement.docx to qinhuafengfeng@163.com. The successful applicants will receive the download link for the CTBU-FV Dataset(choose one of the two dataset or both).

© Copyright

All rights of the CTBU-FV Dataset Dataset are reserved. The dataset is only available for academic research and noncommercial purposes. Any commercial uses of this database are strictly prohibited.

💬 Contact Information:

👨‍🏫 Head of Laboratory: Prof. Huafeng Qin.

🏫 Chongqing Intelligence Perception and Block Chain Technology Key Lab, Biometric Identification Group.

📧 Email: qinhuafengfeng@163.com

📖 Related Papers & Citation:

  • Local Attention Transformer-based Full-View Finger-Vein Identification, 2022, TCSVT PDF
@article{qin2022local,
  title={Local attention transformer-based full-view finger-vein identification},
  author={Qin, Huafeng and Hu, Rongshan and El-Yacoubi, Mounim A and Li, Yantao and Gao, Xinbo},
  journal={IEEE Transactions on Circuits and Systems for Video Technology},
  year={2022},
  publisher={IEEE}
}