Method of recognising facial image using fuzzy measure
by Seongsoo Cho; Bhanu Shrestha; Jongsup Lee
International Journal of Security and Networks (IJSN), Vol. 9, No. 4, 2014

Abstract: The proposed work is a mathematical and morphological erosion calculation method through defuzzification. It defines a λ-fuzzy set measure in all subsets of defuzzification, which measures degrees of inclusion on the fuzzy set measure of each subset, replaces as a result of the fuzzy integral by performing defuzzification of images within the mask of such measures, and defines a fuzzy morphological calculation operator by an erosion on the basis of the fuzzy set measure. The experimental results show 92% of the heterogeneous template matching and 98% of the matching based on the fuzzy set measure. The heterogeneous matching and the average fuzzy matching time took 27.4 and 12.3 s, respectively. The proposed method achieved not only reduction in detecting time by skipping the templates but also the more strong detections on the facial colour and the face in the similar background when compared with the heterogeneous template-matching method.

Online publication date: Thu, 04-Dec-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 Security and Networks (IJSN):
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