Hybrid Neural Network and Linear Model for Natural Produce Recognition Using Computer Vision

摘要

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.KeywordsKalman filter; linear model; natural produce; neural network; recognition.Full Text:PDFReferencesBolle, R.M., Connell, J.H., Haas, N., Mohan, R.andTaubin, G., VeggieVision: A Produce Recognition System, in Proc. of Proceedings 3rd IEEE Workshop on Applications of Computer Vision, 1996, WACV ’96, pp. 244-251, 1996.