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2012 10th IAPR International Workshop on Document Analysis Systems
Document Preprocessing System - Automatic Selection of Binarization
Gold Coast, Queensland Australia
March 27-March 29
ISBN: 978-0-7695-4661-2
| ASCII Text | x | ||
| Ines Ben Messaoud, Hamid Amiri, Haikal El Abed, Volker Margner, "Document Preprocessing System - Automatic Selection of Binarization," Document Analysis Systems, IAPR International Workshop on, pp. 85-89, 2012 10th IAPR International Workshop on Document Analysis Systems, 2012. | |||
| BibTex | x | ||
| @article{ 10.1109/DAS.2012.31, author = {Ines Ben Messaoud and Hamid Amiri and Haikal El Abed and Volker Margner}, title = {Document Preprocessing System - Automatic Selection of Binarization}, journal ={Document Analysis Systems, IAPR International Workshop on}, volume = {0}, year = {2012}, isbn = {978-0-7695-4661-2}, pages = {85-89}, doi = {http://doi.ieeecomputersociety.org/10.1109/DAS.2012.31}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - Document Analysis Systems, IAPR International Workshop on TI - Document Preprocessing System - Automatic Selection of Binarization SN - 978-0-7695-4661-2 SP85 EP89 A1 - Ines Ben Messaoud, A1 - Hamid Amiri, A1 - Haikal El Abed, A1 - Volker Margner, PY - 2012 KW - Historical document analysis KW - binarization KW - automatic parameters selection VL - 0 JA - Document Analysis Systems, IAPR International Workshop on ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/DAS.2012.31
Due to the reason that historical documents present many degradations, the analysis of such documents is considered as a big challenge. In this paper we present a system which allows automatic preprocessing of historical documents. One or many preprocessing methods, as well as sets of input parameters are selected for each book from the used database according to the input image features. Such selection is tested on a subset of every book during the training step, the validation of the carried results is performed on another subset of images. If the validation is not well checked, the training is repeated. The proposed system is applied on a set of books from the Google-Books (23 books, 1000 images) and the Bayerische Staatsbibliothek (10 books, 750 images) collections. The performed results are very promising.
Index Terms:
Historical document analysis, binarization, automatic parameters selection
Citation:
Ines Ben Messaoud, Hamid Amiri, Haikal El Abed, Volker Margner, "Document Preprocessing System - Automatic Selection of Binarization," das, pp.85-89, 2012 10th IAPR International Workshop on Document Analysis Systems, 2012
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