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Identification of Ornamental Plant Functioned as Medicinal Plant based on Redundant Discrete Wavelet Transformation

by Kohei Arai, Indra Nugraha Abdullah, Hiroshi Okumura
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 61 - Number 1
Year of Publication: 2013
Authors: Kohei Arai, Indra Nugraha Abdullah, Hiroshi Okumura
10.5120/9895-4468

Kohei Arai, Indra Nugraha Abdullah, Hiroshi Okumura . Identification of Ornamental Plant Functioned as Medicinal Plant based on Redundant Discrete Wavelet Transformation. International Journal of Computer Applications. 61, 1 ( January 2013), 34-38. DOI=10.5120/9895-4468

@article{ 10.5120/9895-4468,
author = { Kohei Arai, Indra Nugraha Abdullah, Hiroshi Okumura },
title = { Identification of Ornamental Plant Functioned as Medicinal Plant based on Redundant Discrete Wavelet Transformation },
journal = { International Journal of Computer Applications },
issue_date = { January 2013 },
volume = { 61 },
number = { 1 },
month = { January },
year = { 2013 },
issn = { 0975-8887 },
pages = { 34-38 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume61/number1/9895-4468/ },
doi = { 10.5120/9895-4468 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:07:56.101293+05:30
%A Kohei Arai
%A Indra Nugraha Abdullah
%A Hiroshi Okumura
%T Identification of Ornamental Plant Functioned as Medicinal Plant based on Redundant Discrete Wavelet Transformation
%J International Journal of Computer Applications
%@ 0975-8887
%V 61
%N 1
%P 34-38
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Human has a duty to preserve the nature. One of the examples is preserving the ornamental plant. Huge economic value of plant trading, escalating esthetical value of one space, and medicine efficacy that contained in a plant are some positive values from this plant. However, only few people know about its medicine efficacy. Considering the easiness to obtain and the medicine efficacy, this plant should be an initial treatment of a simple disease or option towards chemical based medicines. In order to let people get acquaint, a system that can proper identify this plant is needed. Therefore, this work proposesto build a system based on Redundant Discrete Wavelet Transformation (RDWT) through its leaf. Since its character is translation invariant that able to produce some robust features to identify ornamental plant. This system was successfully resulting 95. 83% of correct classification rate.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Wavelet Transform SVM Leaf Identification Redundant Wavelet

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