2D and 3D biometrics fingerprint dataset in contacless and labeled conditions
Data files
Dec 26, 2023 version files 16.48 GB
Abstract
2D and 3D Fingerrpint dataset. It was created by former Ph.D. stduent Ms. Wei Zhou under the supervision of Prof. J. Hu who acts as the communication contact.
README: 2D and 3D Fingerprint Dataset
https://doi.org/10.5061/dryad.612jm649q
This database consists of 3D fingerprints (2D equivalent ones) collected from 150 subjects (volunteers), so there are in total 150 subfolders.
Description of the data and file structure
For 3D Database:
1. This database consists of 3D fingerprints (2D equivalent ones) collected from 150 subjects (volunteers), so there are in total 150 subfolders.
2. The naming for the samples is SIRE-Subject ID_Finger ID_Capture Order. The Finger IDs are listed below. There are in total 150 volunteers, so the Subject ID ranges from 1 to 150. For each subject, the Finger ID ranges from 1 to 10 accordingly. The Capture Order can be 1 or 2 for 3D fingerprints. For example, the fingerprint image named SIRE-102_3_2.bmp in subfolder 102 represents the second capture of the right middle finger of subject 102. Besides, there are several post-processed images (e.g. SIRE-1_1_1_HT1.bmp, SIRE-1_1_1_R414.bmp) corresponding to each 3D fingerprint image.
3. In the sub subfolder raw, there are several intermediate images for generating 3D (2D equivalent) fingerprints.
4. There are several samples missing in subject 61 and 110.
5. The whole database was divided into 3 parts (DS1, DS2, DS3) and was compressed by 7-zip.
For 2D Database:
1. The 2D database consists of corresponding 2D samples from 150 subjects. The naming of the 2D database is similar to that of 3D, but the Capture Order can be 1, 2, 3 or 4 (each finger was captured 4 times by an optical 2D sensor).
2. The whole database was compressed by 7-zip and named ‘2D Database.7z’.
Sharing/Access information
2D & 3D Fingerprint Database Version 1.0
License Agreement
Redistribution and use of this software/data are permitted provided that the following General Conditions (GC) and Specific Conditions (SC) are met:
General Condition (GC):
The use of this data/code is for the purpose of research only. Anyone downloading the data/code must agree the following: (i) The website host and the contributors have the right not to answer any queries. (ii) No any liability whatsoever could be imposed on the website host and contributors.
Specific Conditions (SC):
(1) Following references [1][2][3][4] cited in any paper/report that makes any use of this data/code
(2) Redistributions must reproduce the License agreement in this document.
[1] W. Zhou, J. Hu, S. Wang, I. Petersen and M. Bennamoun, “Performance evaluation of a large 3D fingerprint database,” Electronics Letters, vol. 50, no. 15, pp. 1060-1061, 2014.
[2] W. Zhou, J. Hu, I. Petersen, S. Wang and M. Bennamoun., “Performance evaluation of 2D to 3D fingerprint recognition,” Image and Signal Processing (CISP), 6th International Congress on, pp. 1736-1741, Dec. 2013.
[3] W. Zhou, J. Hu, I. Petersen, S. Wang and M. Bennamoun., “A Benchmark 3D Fingerprint Database—Invited Paper,” Fuzzy Systems and Knowledge Discovery, 11th International Conference on (FSKD 2014), Aug. 2014.