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Human Identification System based on Face using Active Horizontal Levels (AHLs) Feature

by Manhal S. Almohammad, Gouda I. Salama, Tarek A. Mahmoud
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 61 - Number 20
Year of Publication: 2013
Authors: Manhal S. Almohammad, Gouda I. Salama, Tarek A. Mahmoud
10.5120/10197-4972

Manhal S. Almohammad, Gouda I. Salama, Tarek A. Mahmoud . Human Identification System based on Face using Active Horizontal Levels (AHLs) Feature. International Journal of Computer Applications. 61, 20 ( January 2013), 27-32. DOI=10.5120/10197-4972

@article{ 10.5120/10197-4972,
author = { Manhal S. Almohammad, Gouda I. Salama, Tarek A. Mahmoud },
title = { Human Identification System based on Face using Active Horizontal Levels (AHLs) Feature },
journal = { International Journal of Computer Applications },
issue_date = { January 2013 },
volume = { 61 },
number = { 20 },
month = { January },
year = { 2013 },
issn = { 0975-8887 },
pages = { 27-32 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume61/number20/10197-4972/ },
doi = { 10.5120/10197-4972 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:10:08.867962+05:30
%A Manhal S. Almohammad
%A Gouda I. Salama
%A Tarek A. Mahmoud
%T Human Identification System based on Face using Active Horizontal Levels (AHLs) Feature
%J International Journal of Computer Applications
%@ 0975-8887
%V 61
%N 20
%P 27-32
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Nowadays, face is a crucial field for many pattern recognition researchers. It is considered as a good way for biometric authentication in many surveillance systems. The most important issue in face recognition is the features extraction from the face's images of the person's images or videos. In this paper, a proposed method has been introduced to identify person images, which are captured by cameras. This method depends on Active Horizontal Levels (AHLs) feature. Gain ratio attribute (feature) selection has been used to choose the Horizontal Levels (HLs) that lead to the highest identification rate. The proposed method was evaluated against BioID, UK, ORL and FEI face database, to recognize person from one image. The experimental results reveal the effectiveness of our proposed method against other face recognition methods to achieve better accuracies.

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Index Terms

Computer Science
Information Sciences

Keywords

Face Identification Feature Extraction Biometric Authentication and Gain Ratio Attribute Selection

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