Two-Step Text Recognition and Summarization of Scanned Documents

Abstract:

With the explosion of unstructured textual data circulating the digital space in present times, there has been an increase in the necessity of developing tools that can perform automatic text summarization to allow people to get insights from them easily and extract significant and essential data using Automatic Text Summarizers. The readability of documents can be improved and the time spent on researching for information can be improved by the implementation of text summarization tools. In this project, extractive summarization will be performed on text recognized from scanned documents via Optical Character Recognition (OCR), using the TextRank algorithm which is an unsupervised text summarization technique for performing extractive text summarization.

• Periodical: Advances in Science and Technology (Volume 124)
• Pages: 355-361
• DOI: https://doi.org/10.4028/p-39473k
• Online since: February 2023
• Authors: V. Varun*, Steffina Muthukumar
• Keywords: Automatic Text Summarization, Optical Character Recognition (OCR), Textrank Algorithm

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