Hybrid neural network and linear model for natural produce recognition using computer vision

Natural produce recognition is a classification problem with various applications in the food industry. this paper proposes a natural produce recognition method using computer vision. the proposed method uses simple features consisting of statistical color features and the derivative of radius function. a hybrid neural network and linear model based on a kalman filter (nn-lmkf) was employed as classifier. one thousand images from ten categories of natural produce were used to validate the proposed method by using 5-fold cross validation. the experimental result showed that the proposed method achieved classification accuracy of 98.40%. this means it performed better than the original neural network and k-nearest neighborhood. © 2017 published by itb journal publisher.