Hybrid Neural Network and Linear Model for Natural Produce Recognition Using Computer Vision
Journal Title: Journal of ICT Research and Applications - Year 2017, Vol 11, Issue 2
Abstract
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.
Authors and Affiliations
Joko Siswantoro
Keywords
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- EP ID EP324693
- DOI 10.5614/ itbj.ict.res.appl.2017.11.2.5
- Views 90
- Downloads 0
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