Face image database: a test-bed for evaluation and certification of facial recognition systems
by Frank Wu; Qinghan Xiao; Tien D. Vo
International Journal of Biometrics (IJBM), Vol. 5, No. 3/4, 2013

Abstract: Recently, there has been a growing interest in facial recognition technology because of its great potential usage in tracking and finding persons of interest in public spaces. However, there is no government agency or organisation in Canada with the capability to test or certify facial recognition algorithms, products, or systems. To fill this gap, we carried out a Public Security Technical Program (PSTP) project to create a database that consists of face images commonly used by biometric communities. The objective is to establish a test-bed for government agencies to evaluate the performance of facial recognition algorithms and products. Different test scenarios were studied, and the experimental results illustrated the utility, validity and flexibility of the database.

Online publication date: Fri, 28-Feb-2014

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Biometrics (IJBM):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com