Abstract:
Ayurveda treatments are used by people all over the
world for centuries. These treatments are made by using parts of
medicinal plants or herbal species. Therefore, it is important to
know some vital Ayurveda plants for our day today life for simple
herbal treatments. This paper presents a methodology to identify
herbal species using their flower images. There are studies have
been done to identify plants that most of them are done by using
leaves and those are not specifically for Ayurveda plants. The
approach extracts color, shape and different texture features from
flower images and creates three different feature vectors with
Haralick, Tamura and Gabor textures. Then classify each with
different classifiers such as SVM, Decision Trees and K-NN. The
results are compared with each other’s individual performances in
order to use them for identifying Ayurveda plants.
