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Face Detection Algorithm based on Skin Detection, Watershed Method and Gabor Filters

by Abdellatif Hajraoui, Mohamed Sabri
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 94 - Number 6
Year of Publication: 2014
Authors: Abdellatif Hajraoui, Mohamed Sabri
10.5120/16349-5695

Abdellatif Hajraoui, Mohamed Sabri . Face Detection Algorithm based on Skin Detection, Watershed Method and Gabor Filters. International Journal of Computer Applications. 94, 6 ( May 2014), 33-39. DOI=10.5120/16349-5695

@article{ 10.5120/16349-5695,
author = { Abdellatif Hajraoui, Mohamed Sabri },
title = { Face Detection Algorithm based on Skin Detection, Watershed Method and Gabor Filters },
journal = { International Journal of Computer Applications },
issue_date = { May 2014 },
volume = { 94 },
number = { 6 },
month = { May },
year = { 2014 },
issn = { 0975-8887 },
pages = { 33-39 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume94/number6/16349-5695/ },
doi = { 10.5120/16349-5695 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:16:54.918656+05:30
%A Abdellatif Hajraoui
%A Mohamed Sabri
%T Face Detection Algorithm based on Skin Detection, Watershed Method and Gabor Filters
%J International Journal of Computer Applications
%@ 0975-8887
%V 94
%N 6
%P 33-39
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Automatic face detection has been intensively studied for human-related recognition systems. To build fully automated systems that analyze the information contained in face images, robust and efficient face detection algorithms are required. In this paper, a new face detection algorithm is proposed. This speedy and robust solution developed, on the one hand is based on the segmentation of the color image to skin regions using a new approach to detect the pixels of the skin and the water shed segmentation method. On the other hand, using Gabor filters, combined with a proposed model of face, skin regions are classified into two classes: face and non-face. The integration of these tools in our algorithm permits to develop a face detector with very reasonable and efficient performances. Experimental results show that the method mentioned in this paper can achieve high detection rates and low false positives. To evaluate the detection speed of proposed algorithm, a comparison with a recent known algorithm is made too.

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Index Terms

Computer Science
Information Sciences

Keywords

Human face detection Skin detection Watershed technique Gabor filters.

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