title: |
Apriori Data Mining on Rotationally Invariant Multiresolutional Moments for Pattern Recognition |
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publication: |
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part of series: |
Advances in Intelligent Systems Research | |
ISBN: |
978-90-78677-01-7 | |
ISSN: |
1951-6851 | |
DOI: |
doi:10.2991/jcis.2006.260 (how to use a DOI) | |
author(s): |
Annupan Rodtook, Stanislav Makhanov |
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corresponding author: |
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publication date: |
October 2006 |
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keywords: |
filter bank, the Kullback-Leibler distance, Apriori mining algorithm, fuzzy C-mean clustering |
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abstract: |
We propose a new feature selection procedure based on a combination of a pruning algorithm, Apriori mining techniques and fuzzy C-mean clustering. The feature selection algorithm is designed to mine on a multiresolution filter bank composed of rotationally invariant moments. The numerical experiments, with more than 10,000 images, demonstrate an accuracy increase of about 5% for a low noise, 15% for an average noise and 20% for a high-level noise. |
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copyright: |
©
Atlantis Press. This article is distributed under the
terms of the Creative Commons Attribution License, which permits
non-commercial use, distribution and reproduction in any medium,
provided the original work is properly cited. |
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full text: |