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Various methods are used to classify documents. Some of the methods are image-based and some are text-based. In this study, it is introduced how image methods can be used in the classification of documents. The results were evaluated by using artificial intelligence, deep learning methods and different filters, especially used in image classification studies. In this study, images are classified based on the implementation of the AlexNet CNN algorithm on Tensorflow. At this stage, the effect on the results was measured by using different filters. In this paper, instead of introducing a new method, the effects and results of various filters applied on the known AlexNet CNN model are introduced. Thus, the comparison of filters is included.
Oncevarlik et al. (Wed,) studied this question.