Machine learning technologies for assessing text legibility in electronic documents
AssigneeCimpress Schweiz GmbH
InventorVyacheslav Nykyforov
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AssigneeCimpress Schweiz GmbH
InventorVyacheslav Nykyforov
Estimating the term…
Systems and methods for using machine learning to assess text legibility in an electronic document are disclosed. According to certain aspects, an electronic device may train a machine learning model using training data that includes at least a representation of a text legibility level in the training data. Additionally, the electronic device may input the electronic document into the machine learning model, which may analyze the electronic document and output a representation of the text legibility level of a set of textual content included in the electronic document. The electronic device may display the output for review and assessment by a user, who may use the electronic device to facilitate any modifications to the electronic document.
A computer-implemented method of using machine learning to assess text legibility in an electronic document, the computer-implemented method comprising:
A system for using machine learning to assess text legibility in an electronic document, comprising:
A non-transitory computer-readable storage medium configured to store instructions executable by a computer processor, the instructions comprising:
Dependencies are inferred from the claim text.