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

• Published in: arXiv.org
• Main Authors: Khurram Azeem Hashmi, Liwicki, Marcus, Stricker, Didier, Afzal, Muhammad Adnan, Afzal, Muhammad Ahtsham, Afzal, Muhammad Zeshan
• Format: Paper
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 08.05.2021
• Subjects: Artificial neural networks; Image analysis; Machine learning; Neural networks; Object recognition

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...