Face Recognition via the Overlapping Energy Histogram

In this paper we investigate the face recognition problem via the overlapping energy histogram of the DCT coefficients. Particularly, we investigate some important issues relating to the recognition performance, such as the issue of selecting threshold and the number of bins. These selection methods...

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Main Authors: Tjahyadi, Ronny, Liu, Wan-Quan, An, Senjian, Venkatesh, Svetha
Other Authors: International Joint Conferences on Artificial Intelligence
Format: Conference Paper
Published: International Joint Conferences on Artificial Intelligence 2007
Online Access:http://www.ijcai.org/papers07/Papers/IJCAI07-465.pdf
http://hdl.handle.net/20.500.11937/15694
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author Tjahyadi, Ronny
Liu, Wan-Quan
An, Senjian
Venkatesh, Svetha
author2 International Joint Conferences on Artificial Intelligence
author_facet International Joint Conferences on Artificial Intelligence
Tjahyadi, Ronny
Liu, Wan-Quan
An, Senjian
Venkatesh, Svetha
author_sort Tjahyadi, Ronny
building Curtin Institutional Repository
collection Online Access
description In this paper we investigate the face recognition problem via the overlapping energy histogram of the DCT coefficients. Particularly, we investigate some important issues relating to the recognition performance, such as the issue of selecting threshold and the number of bins. These selection methods utilise information obtained from the training dataset. Experimentation is conducted on the Yale face database and results indicate that the proposed parameter selection methods perform well in selecting the threshold and number of bins. Furthermore, we show that the proposed overlapping energy histogram approach outperforms the Eigenfaces, 2DPCA and energy histogram significantly.
first_indexed 2025-11-14T07:13:23Z
format Conference Paper
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institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T07:13:23Z
publishDate 2007
publisher International Joint Conferences on Artificial Intelligence
recordtype eprints
repository_type Digital Repository
spelling curtin-20.500.11937-156942017-01-30T11:51:20Z Face Recognition via the Overlapping Energy Histogram Tjahyadi, Ronny Liu, Wan-Quan An, Senjian Venkatesh, Svetha International Joint Conferences on Artificial Intelligence In this paper we investigate the face recognition problem via the overlapping energy histogram of the DCT coefficients. Particularly, we investigate some important issues relating to the recognition performance, such as the issue of selecting threshold and the number of bins. These selection methods utilise information obtained from the training dataset. Experimentation is conducted on the Yale face database and results indicate that the proposed parameter selection methods perform well in selecting the threshold and number of bins. Furthermore, we show that the proposed overlapping energy histogram approach outperforms the Eigenfaces, 2DPCA and energy histogram significantly. 2007 Conference Paper http://hdl.handle.net/20.500.11937/15694 http://www.ijcai.org/papers07/Papers/IJCAI07-465.pdf International Joint Conferences on Artificial Intelligence restricted
spellingShingle Tjahyadi, Ronny
Liu, Wan-Quan
An, Senjian
Venkatesh, Svetha
Face Recognition via the Overlapping Energy Histogram
title Face Recognition via the Overlapping Energy Histogram
title_full Face Recognition via the Overlapping Energy Histogram
title_fullStr Face Recognition via the Overlapping Energy Histogram
title_full_unstemmed Face Recognition via the Overlapping Energy Histogram
title_short Face Recognition via the Overlapping Energy Histogram
title_sort face recognition via the overlapping energy histogram
url http://www.ijcai.org/papers07/Papers/IJCAI07-465.pdf
http://hdl.handle.net/20.500.11937/15694