Computer assisted plant identification system for Android

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.