BibTeX
@article{IJASEIT78,
author = {Seyed Mohammad Sadegh Tabatabaeifar and Mohsen Lashkargir and Sadegh Taghizadeh and Hadi Karimi Tafti},
title = {Colour Fusion in Face Authentication System Based on Visible and Near Infrared Images},
journal = {International Journal on Advanced Science, Engineering and Information Technology},
volume = {1},
number = {4},
year = {2011},
pages = {376--380},
keywords = {Face Verification System; Colour Fusion; Near Infrared},
abstract = {In this paper, face authentication using images taken in visible and near-infrared spectra (NIR) is studied. Visible images are in RGB colour space and near-infrared images are in gray levels colour space. First, the performance of system in each of the primary colour spaces of visible and near-infrared spectrum is evaluated that the verification process is based on the Normalised Correlation measure within the LDA feature space. In order to utilize the information of colour images, the scores associated to an adaptively selected subset of the colour based classifiers are then fused in the decision level. The selection process is based on a sequential search technique called the "plus L and take away R" algorithm. The sum rule and svm rule is used for fusing the related scores. Our extensive experimental studies using the HFB face database demonstrate that using the proposed method, the performance of the system considerably improves as compared to the individual Visible-based or NIR-based face verification systems.},
issn = {2088-5334},
publisher = {INSIGHT - Indonesian Society for Knowledge and Human Development},
url = {http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=78},
doi = {10.18517/ijaseit.1.4.78}
}
EndNote
%A Tabatabaeifar, Seyed Mohammad Sadegh
%A Lashkargir, Mohsen
%A Taghizadeh, Sadegh
%A Tafti, Hadi Karimi
%D 2011
%T Colour Fusion in Face Authentication System Based on Visible and Near Infrared Images
%B 2011
%9 Face Verification System; Colour Fusion; Near Infrared
%! Colour Fusion in Face Authentication System Based on Visible and Near Infrared Images
%K Face Verification System; Colour Fusion; Near Infrared
%X In this paper, face authentication using images taken in visible and near-infrared spectra (NIR) is studied. Visible images are in RGB colour space and near-infrared images are in gray levels colour space. First, the performance of system in each of the primary colour spaces of visible and near-infrared spectrum is evaluated that the verification process is based on the Normalised Correlation measure within the LDA feature space. In order to utilize the information of colour images, the scores associated to an adaptively selected subset of the colour based classifiers are then fused in the decision level. The selection process is based on a sequential search technique called the "plus L and take away R" algorithm. The sum rule and svm rule is used for fusing the related scores. Our extensive experimental studies using the HFB face database demonstrate that using the proposed method, the performance of the system considerably improves as compared to the individual Visible-based or NIR-based face verification systems.
%U http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=78
%R doi:10.18517/ijaseit.1.4.78
%J International Journal on Advanced Science, Engineering and Information Technology
%V 1
%N 4
%@ 2088-5334
IEEE
Seyed Mohammad Sadegh Tabatabaeifar,Mohsen Lashkargir,Sadegh Taghizadeh and Hadi Karimi Tafti,"Colour Fusion in Face Authentication System Based on Visible and Near Infrared Images," International Journal on Advanced Science, Engineering and Information Technology, vol. 1, no. 4, pp. 376-380, 2011. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.1.4.78.
RefMan/ProCite (RIS)
TY - JOUR
AU - Tabatabaeifar, Seyed Mohammad Sadegh
AU - Lashkargir, Mohsen
AU - Taghizadeh, Sadegh
AU - Tafti, Hadi Karimi
PY - 2011
TI - Colour Fusion in Face Authentication System Based on Visible and Near Infrared Images
JF - International Journal on Advanced Science, Engineering and Information Technology; Vol. 1 (2011) No. 4
Y2 - 2011
SP - 376
EP - 380
SN - 2088-5334
PB - INSIGHT - Indonesian Society for Knowledge and Human Development
KW - Face Verification System; Colour Fusion; Near Infrared
N2 - In this paper, face authentication using images taken in visible and near-infrared spectra (NIR) is studied. Visible images are in RGB colour space and near-infrared images are in gray levels colour space. First, the performance of system in each of the primary colour spaces of visible and near-infrared spectrum is evaluated that the verification process is based on the Normalised Correlation measure within the LDA feature space. In order to utilize the information of colour images, the scores associated to an adaptively selected subset of the colour based classifiers are then fused in the decision level. The selection process is based on a sequential search technique called the "plus L and take away R" algorithm. The sum rule and svm rule is used for fusing the related scores. Our extensive experimental studies using the HFB face database demonstrate that using the proposed method, the performance of the system considerably improves as compared to the individual Visible-based or NIR-based face verification systems.
UR - http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=78
DO - 10.18517/ijaseit.1.4.78
RefWorks
RT Journal Article
ID 78
A1 Tabatabaeifar, Seyed Mohammad Sadegh
A1 Lashkargir, Mohsen
A1 Taghizadeh, Sadegh
A1 Tafti, Hadi Karimi
T1 Colour Fusion in Face Authentication System Based on Visible and Near Infrared Images
JF International Journal on Advanced Science, Engineering and Information Technology
VO 1
IS 4
YR 2011
SP 376
OP 380
SN 2088-5334
PB INSIGHT - Indonesian Society for Knowledge and Human Development
K1 Face Verification System; Colour Fusion; Near Infrared
AB In this paper, face authentication using images taken in visible and near-infrared spectra (NIR) is studied. Visible images are in RGB colour space and near-infrared images are in gray levels colour space. First, the performance of system in each of the primary colour spaces of visible and near-infrared spectrum is evaluated that the verification process is based on the Normalised Correlation measure within the LDA feature space. In order to utilize the information of colour images, the scores associated to an adaptively selected subset of the colour based classifiers are then fused in the decision level. The selection process is based on a sequential search technique called the "plus L and take away R" algorithm. The sum rule and svm rule is used for fusing the related scores. Our extensive experimental studies using the HFB face database demonstrate that using the proposed method, the performance of the system considerably improves as compared to the individual Visible-based or NIR-based face verification systems.
LK http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=78
DO - 10.18517/ijaseit.1.4.78
