Geometric retrieval algorithm-based ear biometry with occluded images
by Samik Chakraborty; Madhuchhanda Mitra; Saurabh Pal
International Journal of Biometrics (IJBM), Vol. 12, No. 3, 2020

Abstract: Ear is a potential biometric parameter which has drawn the attention due to its structural uniqueness and stability over the age, obesity, disease, expression, etc., unlike other common biometric traits. In this work a geometric retrieval algorithm has been proposed for ear-based biometric analysis with occluded image. First the occlusion problem is countered by an empirical data driven technique and then PSO-based optimal features are extracted for comparison that reveals the authenticity of the subject with respect to a stored database. A search of minima from Euclidian distance-based analysis is used for final decision. The proposed system is tested on 50 subjects collected in multiple sessions in laboratory with a good recognition rate superior to similar reported works as indicated in the result section.

Online publication date: Tue, 14-Jul-2020

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