The Tsinghua Distorted Fingerprint Database
This database is collected for studying the problem of distorted fingerprints,
including distortion detection, distortion rectification, and dense registration.
The database contains totally 320 pairs of normal fingerprints and distorted fingerprints
from 185 different fingers. Two pairs of them are shown below.
Data collection method
ingerprints are collected using a Fourier transform infrared spectrum (FTIR)
fingerprint scanner with video acquisition functions. To generate distorted fingerprints,
a volunteer firstly restrains a fingerprint with a standard posture, and then purposely
adds distortion and gradually increases the distortion. After that, the acquired fingerprints
are transformed into a video sequence with a frame rate of 10 frames per second and the resolution
is 500 dpi. In this way, the first frame of the video can be seen as a normal fingerprint and the
last frame can be seen as a corresponding distorted fingerprint. Volunteers are asked to generate
10 different distortion types as shown below.
Examples of 10 distortion types in the database
You are free to download the dataset for non-commercial research and educational purposes: Tsinghua Distorted Fingerprint Database.zip
Research papers that used this database should cite the following paper.
Xuanbin Si, Jianjiang Feng, Jie Zhou, Yuxuan Luo, "Detection and rectification of distorted fingerprints", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 37, no. 3, pp. 555-568, 2015.
Contact Dr. Jianjiang Feng for further information.