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.

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Abstract

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.

Item Type:	Conference or Workshop Item (Paper)
Additional Information:	ISBN: 978-983-2078-92-0 Organized by: UUM CAS, Universiti Utara Malaysia
Uncontrolled Keywords:	Malaysian medicinal plant, leaf, shape, identification, classification, image processing.
Subjects:	Q Science > QA Mathematics > QA76 Computer software
Divisions:	School of Computing
Depositing User:	Mr. Mohd. Shamrie Sainin
Date Deposited:	26 Oct 2014 08:16
Last Modified:	25 May 2016 07:16
URI:	https://repo.uum.edu.my/id/eprint/12429

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