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Leaf classification and identification using Canny Edge Detector and SVM classifier

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dc.contributor.author Bhatt, Upendra Mohan
dc.date.accessioned 2025-01-21T04:58:12Z
dc.date.available 2025-01-21T04:58:12Z
dc.date.issued 2017-10
dc.identifier.uri https://ieeexplore.ieee.org/abstract/document/8068597
dc.identifier.uri http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/16840
dc.description.abstract Plants are to be considered as one of the important things that plays a very essential role for all living beings exists on earth. But due to some unawareness and environment deterioration, some very rare plants are on the verge of extinction. Knowledge of rare leaves used for medicine and other plants is very critical in future. Leaf identification and classification plays a vital role for plant species recognition. In recent years, most of the researchers dedicate their work on leaf characterization. Leaf shape is the major parameter to classify plants. A new approach is to extract 15 features from the leaf using Canny Edge Detector and classify 22 different kinds of plants with SVM classifier. en_US
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.subject EEE en_US
dc.subject Image segmentation en_US
dc.subject SVM classifier en_US
dc.subject Canny edge detector en_US
dc.title Leaf classification and identification using Canny Edge Detector and SVM classifier en_US
dc.type Article en_US


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