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Please use this identifier to cite or link to this item: http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/16840
Title: Leaf classification and identification using Canny Edge Detector and SVM classifier
Authors: Bhatt, Upendra Mohan
Keywords: EEE
Image segmentation
SVM classifier
Canny edge detector
Issue Date: Oct-2017
Publisher: IEEE
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.
URI: https://ieeexplore.ieee.org/abstract/document/8068597
http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/16840
Appears in Collections:Department of Electrical and Electronics Engineering

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