Face detection cum recognition system using novel techniques for human authentication
by A. Parivazhagan; A. Brintha Therese
International Journal of Biometrics (IJBM), Vol. 10, No. 4, 2018

Abstract: Face biometric plays a significant role in human authentication system; today in several sectors to recognise a person face biometrics are used. Still, in accuracy point of view, there is a lag in the perfect recognition system. In this work, ideas are proposed to develop novel face recognition, face detection, and face detection cum recognition system. A novel Gray-averaging technique is combined with blooming feature extraction techniques called location averaging technique and max-min comparison technique for face recognition and face detection. An existing frequency domain process DCT is also joined with this system. In this system spatial domain and frequency domain techniques are united, hence it acts as a bridge between these two techniques. The face detection cum recognition system is validated using parameters like image size, runtime, and accuracy with few face databases. This novel system is examined through five standard face databases and 300 real-life face images.

Online publication date: Tue, 02-Oct-2018

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