Leaf Based Plant Identification System for Sri Lankan Medicinal Plant

Abstract

Plant identification is an interesting and challenging research topic due to the variety of plant species. Identification of medicinal plants is very useful to botanists, industrialists, food engineers and physicians. Among different parts of a plant, leaf is widely used for plant identification because it is usually the most abundant type of data available in botanical reference collections and the easiest to obtain in the field studies. A number of research works have been carried out for plant leaf identification. In this work, a system is developed to identify medicinal plants from Sri Lanka using leaf images. Images of leaves of different plants are obtained from the Flavia dataset. In order to get proper results, leaf images with a white background are used. Pre-processing and feature extraction techniques are used before using a pattern matcher to compare the information from this image with the ones in the database to get potential matches.