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Table detection is a crucial step in many document analysis applications as tables are used for presenting essential information to readers in a structured ...
This paper presents a method to detect table regions in document images by identifying the column and row line-separators and their properties.
This paper presents a method to detect table regions in document images by identifying the column and row line-separators and their properties.
A hybrid method consisting of three fundamental steps to detect table zones: classification of the regions, detection of the tables that constitute ...
Abstract—This paper presents a method to detect table regions in document images by identifying the column and row line- separators and their properties.
ABSTRACT. Table detection is a crucial step in many document analysis applications as tables are used for presenting essential information.
This paper presents a method to detect table regions in document images by identifying the column and row line-separators and their properties.
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Apr 28, 2024 · By recognizing tables, OCR can convert this data into a format that is easily manipulatable and analyzable, such as a spreadsheet or a database.
It is an end-to-end deep learning model that can localize the tabular region in a document image, understand the table structure and extract text data from it.
In this paper, we propose a graph-based approach for detecting tables in document images which do not require the raw content of the document.