Finger Vein USM (FV-USM) Database

Since there is limited number of publicly available database for finger vein recognition, we have developed an infrared finger image database. The database consists of the information of finger vein and also finger geometry. It can be used to verify either unimodal biometrics (finger vein and finger geometry) or bimodal biometrics (fusion of vein and geometry) systems. Complete with the extracted ROI (region of interest) for finger vein recognition, this database is made available on the web for the sake of assisting other researchers in the related fields to test and evaluate their algorithms based on standard benchmark database.

Our Database

The images in the database were collected from 123 volunteers comprising of 83 males and 40 females, who were staff and students of Universiti Sains Malaysia. The age of the subject ranged from 20 to 52 years old. Every subject provided four fingers:left index, left middle, right index and right middle fingers resulting in a total of 492 finger classes obtained. The captured finger images provided two important features: the geometry and the vein pattern. Each finger was captured six times in one session and each individual participated in two sessions, separated by more than two weeks’ time. In the first session, a total of 2952 (123 x 4 x 6) images were collected. Therefore, from two sessions, we obtained a total of 5904 images from 492 finger classes. The spatial and depth resolution of the captured finger images were 640 x 480 and 256 grey levels, respectively. We also provide the extracted ROI images for finger vein recognition using our proposed algorithm described in [1].

Download Database

The database can be downloaded from here. Please send an email to fendi75[atmark] for the password. The title of the email should be “FV-USM Database”.

Requested Citation Acknowledgment

FV-USM database is publicly available for research and educational purposes, and it can be used in scientific publications at the condition of respecting the requested citation acknowledgment:

[1] Mohd Shahrimie Mohd Asaari, Shahrel A. Suandi, Bakhtiar Affendi Rosdi, Fusion of Band Limited Phase Only Correlation and Width Centroid Contour Distance for finger based biometrics, Expert Systems with Applications, Volume 41, Issue 7, 1 June 2014, Pages 3367-3382, ISSN 0957-4174,


All rights of the FV-USM database are reserved. The database is only available for research and noncommercial purposes