Current Status and Performance Analysis of Table Recognition in Document Images With Deep Neural Networks

Current Status and Performance Analysis of Table Recognition in Document Images With Deep Neural Networks

The first phase of table recognition is to detect the tabular area in a document. Subsequently, the tabular structures are recognized in the second phase in order to extract information from the respective cells. Table detection and structural recognition are pivotal problems in the domain of table...

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Bibliographic Details
Main Authors: Khurram Azeem Hashmi, Marcus Liwicki, Didier Stricker, Muhammad Adnan Afzal, Muhammad Ahtsham Afzal, Muhammad Zeshan Afzal
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Deep neural network
document images
deep learning
performance evaluation
table recognition
table detection
Online Access:https://ieeexplore.ieee.org/document/9449902/

Internet

https://ieeexplore.ieee.org/document/9449902/

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