IEEE - Institute of Electrical and Electronics Engineers, Inc. - Text Line Detection in Corrupted and Damaged Historical Manuscripts

2013 12th International Conference on Document Analysis and Recognition (ICDAR)

Author(s): Irina Rabaev ; Ofer Biller ; Jihad El-Sana ; Klara Kedem ; Itshak Dinstein
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 August 2013
Conference Location: Washington, DC, USA
Conference Date: 25 August 2013
Page(s): 812 - 816
ISBN (Electronic): 978-0-7695-4999-6
ISSN (Paper): 1520-5363
DOI: 10.1109/ICDAR.2013.166
Regular:

Most of the algorithms proposed for text line detection are designed to process binary images as input. For severely degraded documents, binarization often introduces significant noise and other... View More

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