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Reseach Article

Facial Features Extraction by Relative Geometrical Position

by Sundos A. Hameed
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 98 - Number 15
Year of Publication: 2014
Authors: Sundos A. Hameed

Sundos A. Hameed . Facial Features Extraction by Relative Geometrical Position. International Journal of Computer Applications. 98, 15 ( July 2014), 37-40. DOI=10.5120/17263-7619

@article{ 10.5120/17263-7619,
author = { Sundos A. Hameed },
title = { Facial Features Extraction by Relative Geometrical Position },
journal = { International Journal of Computer Applications },
issue_date = { July 2014 },
volume = { 98 },
number = { 15 },
month = { July },
year = { 2014 },
issn = { 0975-8887 },
pages = { 37-40 },
numpages = {9},
url = { },
doi = { 10.5120/17263-7619 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-06T22:26:19.834157+05:30
%A Sundos A. Hameed
%T Facial Features Extraction by Relative Geometrical Position
%J International Journal of Computer Applications
%@ 0975-8887
%V 98
%N 15
%P 37-40
%D 2014
%I Foundation of Computer Science (FCS), NY, USA

In this research, traditional methods will be used to segment the true color of ace images such as Edge detection method and some preprocessing operations, the resulted regions was applied on the Facial Feature Extraction, for primary face image, segment the image into small and large regions (objects), the goal of this section is to detect the face region and facial features such as determining feature information about eyes, nose, and mouth, For facial feature extraction, one of very popular methods in geometrical feature based approach is the use of vertical axis of the center face region, so we used the face detection on facial database to recognized any input of gray face images, in this application the feature-based approach is selected. By testing many kind of images, some of which are face images, and all of these images prove the success of the applied it using proposed method.

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Index Terms

Computer Science
Information Sciences


Segmentation Facial Features and Geometrical Position. .