FIELD: computer equipment.
SUBSTANCE: group of inventions relates to computer engineering and can be used to detect text fields in electronic documents using neural networks. Method comprises steps of extracting from an electronic document a plurality of word attributes, where a plurality of features includes a plurality of symbol vectors representing words available on the image; processing a plurality of word attributes using a neural network comprising a plurality of layers of the neural network; detecting, by the processor device, a plurality of text fields in the electronic document based on the result of the operation of the neural network, based on spatial information indicating location of said text fields in the electronic document; and assigning each of the text fields to one of the plurality of field types by the processor device based on the result of the operation of the neural network, based on attributing words of said text fields to one of the predetermined classes based on said features words, where each of predetermined classes corresponds to one of types of text fields.
EFFECT: high accuracy of detecting text fields.
20 cl, 8 dwg
