Fruit Identification and Classification Techniques A Review Using Neural Networks Approach

Abstract: This paper gives an insight into the results of a survey based on fruit identification and classification. The survey depicts the credibility of choosing the appropriate classifier and the feature extraction methods for correct and exact recognition of the fruits. It also reports on the accuracy and performance of each method implemented in the papers taken into consideration. Morphological features, color features, intensity based features and other features are extracted from the fruit images and these are subject to various types of classifiers like Probabilistic Neural Network(PNN), Support Vector Machine(SVM), Back Propagation Network(BPN) and K-Nearest Neighbour(KNN) algorithm. The goal of this paper is an overview of the techniques implemented in fruit identification and classification.

Keywords: Fruits; feature; classifiers; SVM; ANN; KNN; PNN.