Malaysian medicinal plant leaf shape identification and classification

Malaysian medicinal plants may be abundant natural resources but there has not been much research done on preserving the knowledge of these medicinal plants which enables general public to know the leaf using computing capability.This study proposes a framework to identify and classify tropical m...

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Main Authors: Sainin, Mohd Shamrie, Ghazali, Taqiyah Khadijah, Alfred, Rayner
Format: Conference or Workshop Item
Language:English
Published: 2014
Subjects:
Online Access:https://repo.uum.edu.my/id/eprint/12429/1/rie%281%29.pdf
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author Sainin, Mohd Shamrie
Ghazali, Taqiyah Khadijah
Alfred, Rayner
author_facet Sainin, Mohd Shamrie
Ghazali, Taqiyah Khadijah
Alfred, Rayner
author_sort Sainin, Mohd Shamrie
collection UUM
description Malaysian medicinal plants may be abundant natural resources but there has not been much research done on preserving the knowledge of these medicinal plants which enables general public to know the leaf using computing capability.This study proposes a framework to identify and classify tropical medicinal plants in Malaysia based the extracted patterns from the leaf.The extracted patterns from medicinal plant leaf are obtained based on several angle features.Five classifiers, obtained from WEKA and an ensemble classifier, called Direct Ensemble Classifier for Imbalanced Multiclass Learning (DECIML), are used to compare their performance accuracies over this data.In this experiment, five species of Malaysian medicinal plants are identified and classified in which each species will be represented by using 65 images.This study is important in order to assist local community to utilize the knowledge discovery and application of Malaysian medicinal plants for future generation.
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spelling uum-124292016-05-25T07:16:29Z https://repo.uum.edu.my/id/eprint/12429/ Malaysian medicinal plant leaf shape identification and classification Sainin, Mohd Shamrie Ghazali, Taqiyah Khadijah Alfred, Rayner QA76 Computer software Malaysian medicinal plants may be abundant natural resources but there has not been much research done on preserving the knowledge of these medicinal plants which enables general public to know the leaf using computing capability.This study proposes a framework to identify and classify tropical medicinal plants in Malaysia based the extracted patterns from the leaf.The extracted patterns from medicinal plant leaf are obtained based on several angle features.Five classifiers, obtained from WEKA and an ensemble classifier, called Direct Ensemble Classifier for Imbalanced Multiclass Learning (DECIML), are used to compare their performance accuracies over this data.In this experiment, five species of Malaysian medicinal plants are identified and classified in which each species will be represented by using 65 images.This study is important in order to assist local community to utilize the knowledge discovery and application of Malaysian medicinal plants for future generation. 2014-08-12 Conference or Workshop Item PeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/12429/1/rie%281%29.pdf Sainin, Mohd Shamrie and Ghazali, Taqiyah Khadijah and Alfred, Rayner (2014) Malaysian medicinal plant leaf shape identification and classification. In: Knowledge Management International Conference 2014 (KMICe2014), 12-15 August 2014, Langkawi, Malaysia. http://www.kmice.cms.net.my
spellingShingle QA76 Computer software
Sainin, Mohd Shamrie
Ghazali, Taqiyah Khadijah
Alfred, Rayner
Malaysian medicinal plant leaf shape identification and classification
title Malaysian medicinal plant leaf shape identification and classification
title_full Malaysian medicinal plant leaf shape identification and classification
title_fullStr Malaysian medicinal plant leaf shape identification and classification
title_full_unstemmed Malaysian medicinal plant leaf shape identification and classification
title_short Malaysian medicinal plant leaf shape identification and classification
title_sort malaysian medicinal plant leaf shape identification and classification
topic QA76 Computer software
url https://repo.uum.edu.my/id/eprint/12429/1/rie%281%29.pdf
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AT alfredrayner malaysianmedicinalplantleafshapeidentificationandclassification