Article

Binarizing and filtering historical documents with back-to-front interference

Authors:

João Marcelo M. da Silva,

Rafael Dueire Lins,

Valdemar Cardoso da RochaAuthors Info & Claims

SAC '06: Proceedings of the 2006 ACM symposium on Applied computing

Pages 853 - 858

https://doi.org/10.1145/1141277.1141471

Published: 23 April 2006 Publication History

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Abstract

This paper presents a new segmentation-based method for generating high-quality monochromatic images of historical documents. The proposed segmentation algorithm is based on the entropy of the histogram of the image. The algorithm eliminates back-to-front interference in documents written on both sides on translucent paper.

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Cited By

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Lins RChaves Gde F. P e Silva GVieira Tda Silva Barboza RSimske S(2024)Competition on Binarizing Photographed Document Images 2024 Quality, Time and Space ReportProceedings of the ACM Symposium on Document Engineering 202410.1145/3685650.3686793(1-12)Online publication date: 20-Aug-2024
https://dl.acm.org/doi/10.1145/3685650.3686793
Bernardino RLins RBarboza R(2024)Texture-based Document BinarizationProceedings of the ACM Symposium on Document Engineering 202410.1145/3685650.3685663(1-10)Online publication date: 20-Aug-2024
https://dl.acm.org/doi/10.1145/3685650.3685663
Ho JLiu M(2024)Research on Document Image Binarization: A Survey2024 IEEE 7th International Conference on Electronic Information and Communication Technology (ICEICT)10.1109/ICEICT61637.2024.10671186(457-462)Online publication date: 31-Jul-2024
https://doi.org/10.1109/ICEICT61637.2024.10671186
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Index Terms

Binarizing and filtering historical documents with back-to-front interference
1. Information systems
  1. Information retrieval

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Information

Published In

SAC '06: Proceedings of the 2006 ACM symposium on Applied computing

April 2006

1967 pages

ISBN:1595931082

DOI:10.1145/1141277

Conference Chair:
Hisham M. Haddad
Kennesaw State University, Kennesaw, Georgia

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 23 April 2006

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SAC06

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SIGAPP

SAC06: The 2006 ACM Symposium on Applied Computing

April 23 - 27, 2006

Dijon, France

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Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

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Cited By

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Lins RChaves Gde F. P e Silva GVieira Tda Silva Barboza RSimske S(2024)Competition on Binarizing Photographed Document Images 2024 Quality, Time and Space ReportProceedings of the ACM Symposium on Document Engineering 202410.1145/3685650.3686793(1-12)Online publication date: 20-Aug-2024
https://dl.acm.org/doi/10.1145/3685650.3686793
Bernardino RLins RBarboza R(2024)Texture-based Document BinarizationProceedings of the ACM Symposium on Document Engineering 202410.1145/3685650.3685663(1-10)Online publication date: 20-Aug-2024
https://dl.acm.org/doi/10.1145/3685650.3685663
Ho JLiu M(2024)Research on Document Image Binarization: A Survey2024 IEEE 7th International Conference on Electronic Information and Communication Technology (ICEICT)10.1109/ICEICT61637.2024.10671186(457-462)Online publication date: 31-Jul-2024
https://doi.org/10.1109/ICEICT61637.2024.10671186
Lins Rde F. Pe Silva GChaves Gda Silva Barboza RBernardino RSimske S(2023)Quality, Space and Time Competition on Binarizing Photographed Document ImagesProceedings of the ACM Symposium on Document Engineering 202310.1145/3573128.3604903(1-10)Online publication date: 22-Aug-2023
https://dl.acm.org/doi/10.1145/3573128.3604903
Lins RBernardino RBarboza RDe Oliveira R(2022)Using Paper Texture for Choosing a Suitable Algorithm for Scanned Document Image BinarizationJournal of Imaging10.3390/jimaging81002728:10(272)Online publication date: 5-Oct-2022
https://doi.org/10.3390/jimaging8100272
Lins RBernardino RBarboza RSimske SWigington CHardy MBagley SSimske S(2022)Binarization of photographed documents image quality, processing time and size assessmentProceedings of the 22nd ACM Symposium on Document Engineering10.1145/3558100.3564159(1-10)Online publication date: 20-Sep-2022
https://dl.acm.org/doi/10.1145/3558100.3564159
Lins RBernardino RSmith EKavallieratou E(2021)ICDAR 2021 Competition on Time-Quality Document Image BinarizationDocument Analysis and Recognition – ICDAR 202110.1007/978-3-030-86337-1_47(708-722)Online publication date: 5-Sep-2021
https://dl.acm.org/doi/10.1007/978-3-030-86337-1_47
Dueire Lins RKavallieratou ESmith EBernardino RJesus D(2019)ICDAR 2019 Time-Quality Binarization Competition2019 International Conference on Document Analysis and Recognition (ICDAR)10.1109/ICDAR.2019.00248(1539-1546)Online publication date: Sep-2019
https://doi.org/10.1109/ICDAR.2019.00248
Dueire Lins RBernardino RJesus D(2019)A Quality and Time Assessment of Binarization Algorithms2019 International Conference on Document Analysis and Recognition (ICDAR)10.1109/ICDAR.2019.00232(1444-1450)Online publication date: Sep-2019
https://doi.org/10.1109/ICDAR.2019.00232
Dey SBhattacharyya SMaulik U(2019)BibliographyQuantum Inspired Meta‐heuristics for Image Analysis10.1002/9781119488767.biblio(337-353)Online publication date: 7-Jun-2019
https://doi.org/10.1002/9781119488767.biblio
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A fast algorithm to binarize and filter documents with back-to-front interference

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