A novel method for recognizing fruits with plastic packing

According to the need of automatic weighing and pricing system for fruits in the supermarket and the limitation of current methods, this paper proposes a new segmentation method for fruits with plastic packing and a modified minimum distance classifier. Firstly, we segment images and obtain the region of interest (ROI) in the HSV color space. Secondly, we extract color features and texture features which can be derived from gray level co-occurrence matrix (GLCM), and saving these features into the classifier. Then, we apply modified classifier to recognize and categorize. The experiment results show that our segmentation method can separate ROI from the background with plastic packaging effectively. Furthermore, this novel method can also achieve a better recognition performance with overall recognition rate above 91%.