Article

A General Method of Segmentation-Recognition Collaboration Applied to Pairs of Touching and Overlapping Symbols

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Christophe RenaudinAuthors Info & Claims

ICDAR '07: Proceedings of the Ninth International Conference on Document Analysis and Recognition - Volume 02

Pages 659 - 663

Published: 23 September 2007 Publication History

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Abstract

In this paper, we present a general method to segment and recognize pairs of touching and overlapping symbols. The method, whose purpose is to lead to a generic approach in future works, is based on the evaluation of several segmentation candidates produced by grouping elements of an over-segmentation. A pure general method would involve a high number of segmentation candidates. An adaptive introduction of heuristics, representing the knowledge dedicated to the applicative domain, allows to decrease this number. We have largely tested the method on pairs of touching and overlapping digits.

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Lopes Filho AMello CVanoirbeek CGenevès P(2015)Segmentation of Overlapping Digits through the Emulation of a Hypothetical Ball and Physical ForcesProceedings of the 2015 ACM Symposium on Document Engineering10.1145/2682571.2797080(223-226)Online publication date: 8-Sep-2015
https://dl.acm.org/doi/10.1145/2682571.2797080
Verma BLee H(2011)Segment confidence-based binary segmentation (SCBS) for cursive handwritten wordsExpert Systems with Applications: An International Journal10.1016/j.eswa.2011.02.16238:9(11167-11175)Online publication date: 1-Sep-2011
https://dl.acm.org/doi/10.1016/j.eswa.2011.02.162
Roe EMello C(2009)Simulating inertial and centripetal forces for segmentation of overlapped handwritten digitsProceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics10.5555/1732323.1732348(143-147)Online publication date: 11-Oct-2009
https://dl.acm.org/doi/10.5555/1732323.1732348
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Index Terms

A General Method of Segmentation-Recognition Collaboration Applied to Pairs of Touching and Overlapping Symbols
1. Applied computing
  1. Document management and text processing
    1. Document capture
2. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
  2. Machine learning

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ICDAR '07: Proceedings of the Ninth International Conference on Document Analysis and Recognition - Volume 02

September 2007

746 pages

ISBN:0769528228

Publisher

IEEE Computer Society

United States

Publication History

Published: 23 September 2007

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Lopes Filho AMello CVanoirbeek CGenevès P(2015)Segmentation of Overlapping Digits through the Emulation of a Hypothetical Ball and Physical ForcesProceedings of the 2015 ACM Symposium on Document Engineering10.1145/2682571.2797080(223-226)Online publication date: 8-Sep-2015
https://dl.acm.org/doi/10.1145/2682571.2797080
Verma BLee H(2011)Segment confidence-based binary segmentation (SCBS) for cursive handwritten wordsExpert Systems with Applications: An International Journal10.1016/j.eswa.2011.02.16238:9(11167-11175)Online publication date: 1-Sep-2011
https://dl.acm.org/doi/10.1016/j.eswa.2011.02.162
Roe EMello C(2009)Simulating inertial and centripetal forces for segmentation of overlapped handwritten digitsProceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics10.5555/1732323.1732348(143-147)Online publication date: 11-Oct-2009
https://dl.acm.org/doi/10.5555/1732323.1732348
Mello CRoe ELacerda Ede Graça Pimentel MBulterman DGomes Soares L(2008)Segmentation of overlapping cursive handwritten digitsProceedings of the eighth ACM symposium on Document engineering10.1145/1410140.1410199(271-274)Online publication date: 16-Sep-2008
https://dl.acm.org/doi/10.1145/1410140.1410199

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Segmentation-based recognition of handwritten touching pairs of digits using structural features

A New Approach for Segmentation and Recognition of Arabic Handwritten Touching Numeral Pairs

Touching character segmentation of Devanagari script

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