Research on fingerprint feature recognition of access control based on deep learning
by Xiaochang Lv; Li Ding; Guohua Zhang
International Journal of Biometrics (IJBM), Vol. 13, No. 1, 2021

Abstract: In order to overcome the problems of large error and long time-consuming in traditional feature recognition methods, this paper proposes a new fingerprint feature recognition method based on deep learning. Firstly, fingerprint identity database is established, and the access control fingerprint image is collected by the modified hardware equipment, and the image pre-processing is realised from two aspects: image screening and morphological processing. In this framework, the fingerprint direction field in the fingerprint image is screened through multiple iterations. The feature points in the fingerprint image of access control are extracted, and the similarity between the image and the information base is calculated. The experimental results show that compared with the traditional recognition method, the recognition speed of the proposed method is improved by about 6.6 seconds on the premise of ensuring the accuracy of recognition.

Online publication date: Tue, 05-Jan-2021

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