Novel mobile palmprint databases for biometric authentication
by Mahdieh Izadpanahkakhk; Seyyed Mohammad Razavi; Mehran Taghipour-Gorjikolaie; Seyyed Hamid Zahiri; Aurelio Uncini
International Journal of Grid and Utility Computing (IJGUC), Vol. 10, No. 5, 2019

Abstract: Mobile palmprint biometric authentication has attracted a lot of attention as an interesting analytics tool for representing discriminative features. Despite the advances in this technology, there are some challenges including lack of enough data and invariant templates to the rotation, illumination, and translation. In this paper, we provide two mobile palmprint databases and we can address the aforementioned challenges via deep convolutional neural networks. In the best of our knowledge, this paper is the first study in which mobile palmprint images were acquired in some special views and then were evaluated via deep learning training algorithms. To evaluate our mobile palmprint images, some well-known convolutional neural networks are applied for verification task. By using these networks, the best performing results are achieved via GoogLeNet and CNN-F architectures in terms of cost of the training phase and classification accuracy of the test phase obtained in the 1-to-1 matching procedure.

Online publication date: Tue, 03-Sep-2019

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 Grid and Utility Computing (IJGUC):
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