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 andk -nearest neighborhood.

[学科分类] 电子、光学、磁材料

[关键词] Kalman filter;linear model;natural produce;neural network;recognition.