IEEE - Institute of Electrical and Electronics Engineers, Inc. - Binarization Free Layout Analysis for Arabic Historical Documents Using Fully Convolutional Networks

2018 IEEE 2nd International Workshop on Arabic and Derived Script Analysis and Recognition (ASAR)

Author(s): Berat Kurar Barakat ; Jihad El-Sana
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 March 2018
Conference Location: London, United Kingdom, United Kingdom
Conference Date: 12 March 2018
Page(s): 151 - 155
ISBN (Electronic): 978-1-5386-1459-4
ISBN (USB): 978-1-5386-1458-7
DOI: 10.1109/ASAR.2018.8480333
Regular:

We present a Fully Convolutional Network based method for layout analysis of non-binarized historical Arabic manuscripts. The document image is segmented into main text and side text regions by... View More

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