Leaf identification based on back propagation neural network and support vector machine

Identification of plants has become greater area of research as most of the plant species are at the margin of extinction. This paper proposes efficient features are extraction methods which are invariants to scaling and rotation. Invariant feature database which represents the useful data from the leaf image will be input to the Classifiers. The proposed system proposes three different supervised classification methods for classification purpose those are Naïve Bayesian Classification, Back propagation Neural Network and Support Vector Machine. Performance of the both these three classifiers are measured and compared.