Structure detection and segmentation of documents using 2D stochastic context-free grammars-Reference-Cited by-同舟云学术

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Structure detection and segmentation of documents using 2D stochastic context-free grammars

Published:2015-02 Issue: Volume:150 Page:147-154
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Álvaro Francisco,Cruz Francisco,Sánchez Joan-Andreu,Ramos Terrades Oriol,Benedí José-Miguel

Funder

Spanish MEC

Spanish Project

FPU

EU 7th Framework Programme

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference34 articles.

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2. A. Antonacopoulos, C. Clausner, C. Papadopoulos, S. Pletschacher, ICDAR 2013 competition on historical newspaper layout analysis (HNLA 2013), in: 2013 12th International Conference on Document Analysis and Recognition (ICDAR), 2013, pp. 1454–1458.

3. A. Antonacopoulos, C. Clausner, C. Papadopoulos, S. Pletschacher, ICDAR 2013 competition on historical book recognition (HBR 2013), in: 2013 12th International Conference on Document Analysis and Recognition (ICDAR), 2013, pp. 1459–1463.

4. C. An, H. Bird, P. Xiu, Iterated document content classification, in: Proceedings of the ICDAR, vol. 1, Brazil, 2007, pp. 252–256.

5. M. Bulacu, R. Koert, L. Schomaker, T. Zant, Layout analysis of handwritten historical documents for searching the archive of the cabinet of the Dutch queen, in: Proceedings of the ICDAR, vol. 1, Brazil, 2007, pp. 23–26.

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2. Combination of deep neural networks and logical rules for record segmentation in historical handwritten registers using few examples;International Journal on Document Analysis and Recognition (IJDAR);2021-03-03

3. Complexity of Two-Dimensional Rank-Reducing Grammars;Descriptional Complexity of Formal Systems;2020

4. Layout Analysis of PDF Documents by Two-Dimensional Grammars for the Production of Accessible Textbooks;Lecture Notes in Computer Science;2020

5. Deep neural networks for record counting in historical handwritten documents;Pattern Recognition Letters;2019-03

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