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A Fusion based Approach of Face Detection using Viola - Jones and Skin Color Modeling Technique

by Nancy Goyal, Harsh Dev
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 119 - Number 9
Year of Publication: 2015
Authors: Nancy Goyal, Harsh Dev
10.5120/21094-3791

Nancy Goyal, Harsh Dev . A Fusion based Approach of Face Detection using Viola - Jones and Skin Color Modeling Technique. International Journal of Computer Applications. 119, 9 ( June 2015), 9-16. DOI=10.5120/21094-3791

@article{ 10.5120/21094-3791,
author = { Nancy Goyal, Harsh Dev },
title = { A Fusion based Approach of Face Detection using Viola - Jones and Skin Color Modeling Technique },
journal = { International Journal of Computer Applications },
issue_date = { June 2015 },
volume = { 119 },
number = { 9 },
month = { June },
year = { 2015 },
issn = { 0975-8887 },
pages = { 9-16 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume119/number9/21094-3791/ },
doi = { 10.5120/21094-3791 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:03:35.755635+05:30
%A Nancy Goyal
%A Harsh Dev
%T A Fusion based Approach of Face Detection using Viola - Jones and Skin Color Modeling Technique
%J International Journal of Computer Applications
%@ 0975-8887
%V 119
%N 9
%P 9-16
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Human computer interaction is dealing with different branches of learning that involves the interaction of human with machines directly. For an effective interaction between the machines and humans a user friendly and interactive interface needed. Automatic Face Detection and Recognition proves as a solution for that. Face is a physiological characteristic that indicates what we have in the mind by analyzing the facial expressions such as screaming, happiness and so on. The various factors such as identity, gender, expression, age and pose can be efficiently analyzed by observing the information contained a face. It is very easy for humans to recognize faces because human beings are very good in recognizing process, but it seems to be challenging for machines in the field of computer vision. Therefore, many researchers contribute their interest and attention in this emerging field. In this paper our focus on analyzing the existing faces detection techniques and combining some compatible techniques to form a model with improved efficiency and better detection rate.

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Index Terms

Computer Science
Information Sciences

Keywords

Face Detection Face Recognition Computer-vision Illumination Feature and Image.

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