Comparative Analysis of Leaf Classification and Recognition by Different SVM Classifiers

摘要

This paper presents the leaf shape extraction for the classification of plant. Leaf shape is an important parameter which are frequently used to identify and classify the plant species. Besides many challenges occurred in plant classification, it is very useful technique to study the livestock systems, conservation and ecology. The camera captures the image followed by segmenting the required leaves from the image and then a single leaf is segmented using OTSU's segmentation. A new approach is used to extract 14 features from the leaf using shape detector and classifying 16 different kind of plants with SVM classifier. Accuracies ranging from 89% to 91% are acquired which are similar to the earlier reported work.