Analýza dokumentů pomocí konvolučních neuronových sítí

Abstract

This thesis deals with the problem of classification of scanned documents. The thesis tries to solve the classification problem by using convolutional neural networks in three different ways. The existing approaches in document classification are mapped in the thesis. At the end of the thesis, experiments are made to demonstrate the functionality of different approaches to the problem.