Improving the identification and classification of Malaysian medicinal leaf images using ensemble method

• Main Authors: Sainin, Mohd Shamrie, Ahmad, Faudziah, Alfred, Rayner
• Format: Article
• Language: English
• Published: 2016
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://repo.uum.edu.my/18027/1/ict4t-shamrie-leaf_CR.pdf; http://repo.uum.edu.my/18027/; http://www.ict4t.cms.net.my/ict4t2016/home.asp

Malaysia has abundant natural resources especially plants which can be used for medicinal or herbal purposes. However, there is less research to preserve the knowledge of these resources to be utilized by the community in identifying useful medicinal plants using computing tools. This paper presents the implementation of digital opportunities for Malaysian medicinal plants via leaf image identification and classification. Of late, experts in traditional medicine and herbs have become few and the younger generation are mostly unknowledgeable about the medicinal and herbal properties of the plants. Therefore, this work is important in assisting the community (rural and urban) to identify and possibly share the knowledge of Malaysian medicinal plants with the future generation. The focus of this paper is to prepare the identification phase before the actual system is developed. Thus, the implementation of such a system is vital in order to enable the community to preserve these important resources.