| dc.description.abstract | In the domain of product marketing and labelling, packaging symbols have become a significant part of increasing consumer awareness. When considering food items, several important factors that should be known by consumers. Having good knowledge of these symbols leads to choose the most protective, healthier and suitable food items for themselves. Anyhow with the development of computer technology, automated image classification systems are very popular, especially in symbol recognition. Therefore currently, there are so many research works that are carried on for identifying different kinds of symbols. Artificial Neural Network is one of the most accurate data mining technique and it is widely used in this research works. There are various kinds of neural network techniques that have been used in various existing systems. Here, 15 different proposed systems have been reviewed with analysis of feature extraction techniques and other technologies that have used into a more accurate and efficient symbol recognition system. | |
