Fruit Shop Tool: Fruit Classification and Recognition using Deep Learning

Abstract

Fruit image classification and recognition is a challenging application of computer vision. The computer vision system is used to recognize a fruit based on artificial neural networks. Deep neural network is widely used for various classification problems. In this paper Convolutional Neural Network (CNN) is used to recognize the fruits. The dataset contains 1877 images of ten categories which are used for the experimental purpose. CNN is constructed with sixteen layers which are used to extract the features from images and Support Vector Machine (SVM) classifier is used for classification. The proposed system has the classification accuracy of 99.2% and the recognition accuracy of 99.02%.