Abstract
When highlighting the logical structure of documents, a number of properties are used, one of which is the bold style of text words. In documents, headings, defined words, and column names in tables are often highlighted in bold. This paper proposes a method for classifying text by boldness, which consists of a sequence of steps. The first step is binarization of the entire image. The purpose of this step is to separate the image pixels into text and background pixels. The second step is to evaluate each word. The result is returned a value characterizing the thickness of the main stroke of the character in the given word. At the last step, the ratings are clustered into two clusters: bold text and regular. The proposed method was implemented and tested on three data sets, and the source code was published in an open repository.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Proceedings of the Institute for System Programming of the RAS
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
