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CNN-Based Page Segmentation and Object Classification for Counting Population in Ottoman Archival Documentation
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In: Journal of Imaging ; Volume 6 ; Issue 5 (2020)
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Abstract:
Historical document analysis systems gain importance with the increasing efforts in the digitalization of archives. Page segmentation and layout analysis are crucial steps for such systems. Errors in these steps will affect the outcome of handwritten text recognition and Optical Character Recognition (OCR) methods, which increase the importance of the page segmentation and layout analysis. Degradation of documents, digitization errors, and varying layout styles are the issues that complicate the segmentation of historical documents. The properties of Arabic scripts such as connected letters, ligatures, diacritics, and different writing styles make it even more challenging to process Arabic script historical documents. In this study, we developed an automatic system for counting registered individuals and assigning them to populated places by using a CNN-based architecture. To evaluate the performance of our system, we created a labeled dataset of registers obtained from the first wave of population registers of the Ottoman Empire held between the 1840s and 1860s. We achieved promising results for classifying different types of objects and counting the individuals and assigning them to populated places.
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Keyword:
Arabic script layout analysis; convolutional neural networks; historical document analysis; page segmentation
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URL: https://doi.org/10.3390/jimaging6050032
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2 |
Adaptive Algorithms for Automated Processing of Document Images
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Portable Language-Independent Adaptive Translation from OCR. Phase 1
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In: DTIC (2009)
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PLATO: Portable Language-Independent Adaptive Translation from OCR
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In: DTIC (2008)
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A Methodology for End-to-End Evaluation of Arabic Document Image Processing Software
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In: DTIC (2006)
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Parsing And Tagging Of Bilingual Dictionary
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In: http://www.umiacs.umd.edu/lamp/pubs/TechReports/LAMP_106/LAMP_106.pdf (2003)
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Parsing And Tagging Of Bilingual Dictionary
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In: http://www.cs.umd.edu/Library/TRs/CS-TR-4529/CS-TR-4529.pdf (2003)
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PARSING AND TAGGING OF BILINGUAL DICTIONARY
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In: http://www.cs.umd.edu/Library/TRs/CS-TR-4529/CS-TR-4529.pdf (2003)
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Parsing and Tagging of Binlingual Dictionary
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In: DTIC (2003)
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Text extraction in complex color documents
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In: http://ipml.ee.duth.gr/~papamark/color_documents.pdf (2002)
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Performance evaluation of document layout analysis algorithms on the UW data set
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In: http://isl.ee.washington.edu/~jliang/Postscript/spie97-1.ps.gz (1997)
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Extraction of Text-Related Features for Condensing Image Documents
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In: http://www.parc.xerox.com/istl/members/fchen/././projects/qca/dimsum/spie96dimsum.ps.Z (1996)
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OPTICAL CHARACTER RECOGNITION OF HISTORICAL TEXTS: END-USER FOCUSED RESEARCH FOR SLOVENIAN BOOKS AND NEWSPAPERS FROM THE 18TH AND 19TH CENTURY
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In: http://nl.ijs.si/imp/bib/NCD21117.pdf
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G.3 [Probability and Statistics]: Distribution Functions General Terms
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In: http://www2009.org/proceedings/pdf/p1165.pdf
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