Abstract:
Plant leaves provide sufficient features to distinguish
them among other species. Identification of plants using
leaf images is a classic problem in digital image processing.
Usually those image processing systems use shape based digital
morphological features for leaf identification task. Even there are
number of studies on leaf based plant identification, very few of
them are for mobiles. In this paper we describe a leaf image based
plant identification system using SIFT features combining with
Bag Of Word (BOW) model and Support Vector Machine (SVM)
classifier. The system is trained to classify 20 species and obtained
96.48% accuracy level. Based on the results, we developed an
Android application communicates with the server and gives users
the ability to identify plant species using photographs taken of
plant leaves using the smart phone.
