International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064

Feature Extraction Techniques on Facial Images: An Overview

Lafta Raheem Ali, Dr. Haider Kadhim Homood, Dr. Amer Saleem Elameer

Abstract: This paper provide a general overview on different kinds of feature extraction techniques. These techniques are categorized into four major classes, the first one is feature-based approaches, the second is appearance based approach, and then template-based, and finally part-based approaches. Some techniques are illustrated in details while the others with general explanation. In this research we found that various techniques of feature extraction provide an excellent results for various image processing and pattern recognition applications.

Keywords: feature extraction, feature-based, part-based, facial recognition, template-based, Appearance-based

How to Cite?: Lafta Raheem Ali, Dr. Haider Kadhim Homood, Dr. Amer Saleem Elameer, "Feature Extraction Techniques on Facial Images: An Overview", Volume 6 Issue 9, September 2017, International Journal of Science and Research (IJSR), Pages: 893-896, https://www.ijsr.net/getabstract.php?paperid=ART20176682, DOI: https://dx.doi.org/10.21275/ART20176682

Download Citation: APA | MLA | BibTeX | EndNote | RefMan

Share This Research

Help this article reach readers, researchers and professionals.

Share activity is measured for research-engagement analytics. Only verified, unique public shares can support award tie-breaking.

Confirm Your Share

Enter your details so IJSR can confirm this sharing activity.

Your details are used to validate this share and protect the award process from duplicate or false activity.

Download Article PDF


Rate This Article!

Top

Confirm Your Share

Enter your details so IJSR can confirm this sharing activity.

Your details are used to validate this share and protect the award process from duplicate or false activity.