Ayurvedic Plant Leaves Classification Using combination of Features Feature
DOI:
https://doi.org//10.32628/CSEIT1837102Keywords:
Plant Identification, leaf classifier, OTSU’S, Contourlet Edge Detection, GLCM, SVM, ANNAbstract
Ayurvedic plants identification is most important task in ayurvedic medicinal industry. Sometimes, it might be difficult to identify ayurvedic plant. This problem can be simply solved by presenting a new recognition approach based on Leaf Features Fusion and Classification algorithms for classifying the different types of plants. All the plants in this world are identifying in terms of its leaves. And, Leaves are different to one another due to its characteristics such as the shape, color, texture and the margin. There are many features of leaf such as Color features, Vein features, texture features, Shape features and invariant features. Hybrid Features are made from all features. Also classification approach presented in this research is multi-level. So anyone can identify plant type for further application. In this research paper OTSU’S and contour edge detection methods are used for segmentation and ANN, RF and SVM is used as classifier for classification.
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