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Comparison of half and full-leaf shape feature extraction for leaf classification


Sainin, Mohd Shamrie and Ahmad, Faudziah and Alfred, Rayner (2016) Comparison of half and full-leaf shape feature extraction for leaf classification. In: International Conference on Applied Science and Technology 2016 (ICAST’16), 11–13 April 2016, Kedah, Malaysia.

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Abstract

Shape is the main information for leaf feature that most of the current literatures in leaf identification utilize the whole leaf for feature extraction and to be used in the leaf identification process.In this paper, study of half-leaf features extraction for leaf identification is carried out and the results are compared with the results obtained from the leaf identification based on a full-leaf features extraction. Identification and classification is based on shape features that are represented as cosines and sinus angles.Six single classifiers obtained from WEKA and seven ensemble methods are used to compare their performance accuracies over this data.The classifiers were trained using 65 leaves in order to classify 5 different species of preliminary collection of Malaysian medicinal plants.The result shows that half-leaf features extraction can be used for leaf identification without decreasing the predictive accuracy.

Item Type: Conference or Workshop Item (Paper)
Subjects: Q Science > Q Science (General)
Divisions: School of Computing
Depositing User: Mr. Mohd. Shamrie Sainin
Date Deposited: 16 Jan 2017 03:59
Last Modified: 16 Jan 2017 03:59
URI: http://repo.uum.edu.my/id/eprint/20594

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