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Medicinal Plant Identification using Gabor Filters and Deep Learning Techniques: A Paper Review

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dc.contributor.author Oppong S.O.
dc.contributor.author Twum F.
dc.contributor.author Hayfron-Acquah J.B.
dc.contributor.author Missah Y.M.
dc.date.accessioned 2022-10-31T15:05:15Z
dc.date.available 2022-10-31T15:05:15Z
dc.date.issued 2021
dc.identifier.issn 15493636
dc.identifier.other 10.3844/jcssp.2021.1210.1221
dc.identifier.uri http://41.74.91.244:8080/handle/123456789/338
dc.description Oppong, S.O., Department of ICT Education, University of Education, Winneba, Ghana; Twum, F., Department of Computer Science, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana; Hayfron-Acquah, J.B., Department of Computer Science, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana; Missah, Y.M., Department of Computer Science, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana en_US
dc.description.abstract Computer-aided identification of plants is a branch of machine learning that has become more recognized recently and proves itself as a vital tool in numerous sectors including pharmacological science, forestry and agriculture. This has essentially generated a zeal in creating automated systems for the identification of diverse species of plants. This study reviewed plant species classification relying on leaf textural features using Gabor filters and revealed that Gabor filters perform better when combined with other feature extraction methods. Therefore, this study proposes using Log-Gabor filter in the field of plant identification to improve accuracy since they overcome the drawbacks of Gabor filters which are; the maximum bandwidth of a Gabor filter is limited to approximately one octave and Gabor filters are not optimal if one is seeking broad spectral information with maximal spatial localization � 2021. Stephen Opoku Oppong, Frimpong Twum, James Ben Hayfron-Acquah and Yaw Marfo Missah. This open access article is distributed under a Creative Commons Attribution (CC-BY) 4.0 license en_US
dc.publisher Science Publications en_US
dc.subject Deep learning en_US
dc.subject Gabor filter en_US
dc.subject Log-gabor filter en_US
dc.subject Plant identification en_US
dc.subject Texture en_US
dc.title Medicinal Plant Identification using Gabor Filters and Deep Learning Techniques: A Paper Review en_US
dc.type Article en_US


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