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A New Skin and Frontal Face Detector by selecting Optimized Color Spaces

by B. Somayeh Mousavi, Amin Shahraki Moghadam, Mohammad Mojtaba Keikhayfarzaneh
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 24 - Number 2
Year of Publication: 2011
Authors: B. Somayeh Mousavi, Amin Shahraki Moghadam, Mohammad Mojtaba Keikhayfarzaneh
10.5120/2922-3859

B. Somayeh Mousavi, Amin Shahraki Moghadam, Mohammad Mojtaba Keikhayfarzaneh . A New Skin and Frontal Face Detector by selecting Optimized Color Spaces. International Journal of Computer Applications. 24, 2 ( June 2011), 23-28. DOI=10.5120/2922-3859

@article{ 10.5120/2922-3859,
author = { B. Somayeh Mousavi, Amin Shahraki Moghadam, Mohammad Mojtaba Keikhayfarzaneh },
title = { A New Skin and Frontal Face Detector by selecting Optimized Color Spaces },
journal = { International Journal of Computer Applications },
issue_date = { June 2011 },
volume = { 24 },
number = { 2 },
month = { June },
year = { 2011 },
issn = { 0975-8887 },
pages = { 23-28 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume24/number2/2922-3859/ },
doi = { 10.5120/2922-3859 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:09:57.241352+05:30
%A B. Somayeh Mousavi
%A Amin Shahraki Moghadam
%A Mohammad Mojtaba Keikhayfarzaneh
%T A New Skin and Frontal Face Detector by selecting Optimized Color Spaces
%J International Journal of Computer Applications
%@ 0975-8887
%V 24
%N 2
%P 23-28
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper a new method to detect faces in colour images, is proposed which has wide range of application in Human-Computer interaction, face processing and illness diagnosis (specially mental disease). Skin colour, lip position and face shape information are the key parameters for developing a fussy rule based classifier to extract face candidate from an image. In first step, skin regions are identified in HSI colour space, using fuzzy system, applying distance of each pixel colour to skin colour cluster as input and produce a skin-likelihood image in output. Next step is searching lip area in the region owning the most likelihood of belonging to skin. This stage is implemented in normalized RGB colour space by fuzzy system its input is r-g value. To extract face regions, fuzzy rule based system is used, applying face and lip position, lip area data and face shape to decide which skin region is human face. With this algorithm, 98.75%, 86.6% detection rates are achieved, respectively for frontal and near frontal. Revising system for detecting profile and rotating faces associated with exactly determine lip area, is the next goal.

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Index Terms

Computer Science
Information Sciences

Keywords

face detection lip detection colour space fuzzy rule based system mental illness diagnosis

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