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Efficient Face Detection Method using Modified Hausdorff Distance Method with C4.5 Classifier and Canny Edge Detection

by Neelima Singh, Satish Pawar, Yogendra Kumar Jain
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 123 - Number 10
Year of Publication: 2015
Authors: Neelima Singh, Satish Pawar, Yogendra Kumar Jain
10.5120/ijca2015905553

Neelima Singh, Satish Pawar, Yogendra Kumar Jain . Efficient Face Detection Method using Modified Hausdorff Distance Method with C4.5 Classifier and Canny Edge Detection. International Journal of Computer Applications. 123, 10 ( August 2015), 38-44. DOI=10.5120/ijca2015905553

@article{ 10.5120/ijca2015905553,
author = { Neelima Singh, Satish Pawar, Yogendra Kumar Jain },
title = { Efficient Face Detection Method using Modified Hausdorff Distance Method with C4.5 Classifier and Canny Edge Detection },
journal = { International Journal of Computer Applications },
issue_date = { August 2015 },
volume = { 123 },
number = { 10 },
month = { August },
year = { 2015 },
issn = { 0975-8887 },
pages = { 38-44 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume123/number10/21998-2015905553/ },
doi = { 10.5120/ijca2015905553 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:12:22.645198+05:30
%A Neelima Singh
%A Satish Pawar
%A Yogendra Kumar Jain
%T Efficient Face Detection Method using Modified Hausdorff Distance Method with C4.5 Classifier and Canny Edge Detection
%J International Journal of Computer Applications
%@ 0975-8887
%V 123
%N 10
%P 38-44
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

With the rapid growth of population and technology, security problems become a major issue due to abnormal human behaviors. Recently researches have been motivated towards automatic human face detection from still image or from moving image. Present human face detection system leads computation inaccuracies i.e. higher degree of false negative rate. In this paper, a multilevel hybrid model has been proposed for face detection. In the proposed work, we initially use C4.5 classifier so that foreground and background images can be differentiated, as a result of which search space can be reduced. After that skin color model has been applied to detect the skin region which is followed by canny edge detection to detect the edges of skin region. In the last step, we use the Modified Hausdorff Distance Method which matches the pixel values and detects the faces with lower false negative rate.

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Index Terms

Computer Science
Information Sciences

Keywords

C4.5 Classifier Modified Hausdorff Distance YCbCr Color space model

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