Methods and strategies on off-line cursive touched characters segmentation: a directional review
Abstract Character segmentation is a challenging problem in the field of optical character recognition. Presence of touched characters make this dilemma more crucial. The goal of this paper is to provide major concepts and progress in domain of off-line cursive touched character segmentation. Accord...
Ausführliche Beschreibung
Autor*in: |
Saba, Tanzila [verfasserIn] |
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Format: |
Artikel |
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Sprache: |
Englisch |
Erschienen: |
2011 |
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Schlagwörter: |
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Anmerkung: |
© Springer Science+Business Media B.V. 2011 |
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Übergeordnetes Werk: |
Enthalten in: Artificial intelligence review - Springer Netherlands, 1987, 42(2011), 4 vom: 19. Juni, Seite 1047-1066 |
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Übergeordnetes Werk: |
volume:42 ; year:2011 ; number:4 ; day:19 ; month:06 ; pages:1047-1066 |
Links: |
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DOI / URN: |
10.1007/s10462-011-9271-5 |
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OLC2066032808 |
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520 | |a Abstract Character segmentation is a challenging problem in the field of optical character recognition. Presence of touched characters make this dilemma more crucial. The goal of this paper is to provide major concepts and progress in domain of off-line cursive touched character segmentation. Accordingly, two broad classes of technique are identified. These include methods that perform explicit or implicit character segmentation. The basic methods used by each class of technique are presented and the contributions of individual algorithms within each class are discussed. It is the first survey that focuses on touched character segmentation and provides segmentation rates, descriptions of the test data for the approaches discussed. Finally, the main trends in the field of touched character segmentation are examined, important contributions are presented and future directions are also suggested. | ||
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10.1007/s10462-011-9271-5 doi (DE-627)OLC2066032808 (DE-He213)s10462-011-9271-5-p DE-627 ger DE-627 rakwb eng 004 VZ 54.00 bkl Saba, Tanzila verfasserin aut Methods and strategies on off-line cursive touched characters segmentation: a directional review 2011 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media B.V. 2011 Abstract Character segmentation is a challenging problem in the field of optical character recognition. Presence of touched characters make this dilemma more crucial. The goal of this paper is to provide major concepts and progress in domain of off-line cursive touched character segmentation. Accordingly, two broad classes of technique are identified. These include methods that perform explicit or implicit character segmentation. The basic methods used by each class of technique are presented and the contributions of individual algorithms within each class are discussed. It is the first survey that focuses on touched character segmentation and provides segmentation rates, descriptions of the test data for the approaches discussed. Finally, the main trends in the field of touched character segmentation are examined, important contributions are presented and future directions are also suggested. Optical character recognition Touched character Documents analysis Explicit segmentation Implicit segmentation Rehman, Amjad aut Elarbi-Boudihir, Mohamed aut Enthalten in Artificial intelligence review Springer Netherlands, 1987 42(2011), 4 vom: 19. Juni, Seite 1047-1066 (DE-627)129223018 (DE-600)56633-0 (DE-576)014458209 0269-2821 nnns volume:42 year:2011 number:4 day:19 month:06 pages:1047-1066 https://doi.org/10.1007/s10462-011-9271-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_70 GBV_ILN_2020 GBV_ILN_4046 GBV_ILN_4319 GBV_ILN_4323 54.00 VZ AR 42 2011 4 19 06 1047-1066 |
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10.1007/s10462-011-9271-5 doi (DE-627)OLC2066032808 (DE-He213)s10462-011-9271-5-p DE-627 ger DE-627 rakwb eng 004 VZ 54.00 bkl Saba, Tanzila verfasserin aut Methods and strategies on off-line cursive touched characters segmentation: a directional review 2011 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media B.V. 2011 Abstract Character segmentation is a challenging problem in the field of optical character recognition. Presence of touched characters make this dilemma more crucial. The goal of this paper is to provide major concepts and progress in domain of off-line cursive touched character segmentation. Accordingly, two broad classes of technique are identified. These include methods that perform explicit or implicit character segmentation. The basic methods used by each class of technique are presented and the contributions of individual algorithms within each class are discussed. It is the first survey that focuses on touched character segmentation and provides segmentation rates, descriptions of the test data for the approaches discussed. Finally, the main trends in the field of touched character segmentation are examined, important contributions are presented and future directions are also suggested. Optical character recognition Touched character Documents analysis Explicit segmentation Implicit segmentation Rehman, Amjad aut Elarbi-Boudihir, Mohamed aut Enthalten in Artificial intelligence review Springer Netherlands, 1987 42(2011), 4 vom: 19. Juni, Seite 1047-1066 (DE-627)129223018 (DE-600)56633-0 (DE-576)014458209 0269-2821 nnns volume:42 year:2011 number:4 day:19 month:06 pages:1047-1066 https://doi.org/10.1007/s10462-011-9271-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_70 GBV_ILN_2020 GBV_ILN_4046 GBV_ILN_4319 GBV_ILN_4323 54.00 VZ AR 42 2011 4 19 06 1047-1066 |
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10.1007/s10462-011-9271-5 doi (DE-627)OLC2066032808 (DE-He213)s10462-011-9271-5-p DE-627 ger DE-627 rakwb eng 004 VZ 54.00 bkl Saba, Tanzila verfasserin aut Methods and strategies on off-line cursive touched characters segmentation: a directional review 2011 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media B.V. 2011 Abstract Character segmentation is a challenging problem in the field of optical character recognition. Presence of touched characters make this dilemma more crucial. The goal of this paper is to provide major concepts and progress in domain of off-line cursive touched character segmentation. Accordingly, two broad classes of technique are identified. These include methods that perform explicit or implicit character segmentation. The basic methods used by each class of technique are presented and the contributions of individual algorithms within each class are discussed. It is the first survey that focuses on touched character segmentation and provides segmentation rates, descriptions of the test data for the approaches discussed. Finally, the main trends in the field of touched character segmentation are examined, important contributions are presented and future directions are also suggested. Optical character recognition Touched character Documents analysis Explicit segmentation Implicit segmentation Rehman, Amjad aut Elarbi-Boudihir, Mohamed aut Enthalten in Artificial intelligence review Springer Netherlands, 1987 42(2011), 4 vom: 19. Juni, Seite 1047-1066 (DE-627)129223018 (DE-600)56633-0 (DE-576)014458209 0269-2821 nnns volume:42 year:2011 number:4 day:19 month:06 pages:1047-1066 https://doi.org/10.1007/s10462-011-9271-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT GBV_ILN_70 GBV_ILN_2020 GBV_ILN_4046 GBV_ILN_4319 GBV_ILN_4323 54.00 VZ AR 42 2011 4 19 06 1047-1066 |
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Abstract Character segmentation is a challenging problem in the field of optical character recognition. Presence of touched characters make this dilemma more crucial. The goal of this paper is to provide major concepts and progress in domain of off-line cursive touched character segmentation. Accordingly, two broad classes of technique are identified. These include methods that perform explicit or implicit character segmentation. The basic methods used by each class of technique are presented and the contributions of individual algorithms within each class are discussed. It is the first survey that focuses on touched character segmentation and provides segmentation rates, descriptions of the test data for the approaches discussed. Finally, the main trends in the field of touched character segmentation are examined, important contributions are presented and future directions are also suggested. © Springer Science+Business Media B.V. 2011 |
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Abstract Character segmentation is a challenging problem in the field of optical character recognition. Presence of touched characters make this dilemma more crucial. The goal of this paper is to provide major concepts and progress in domain of off-line cursive touched character segmentation. Accordingly, two broad classes of technique are identified. These include methods that perform explicit or implicit character segmentation. The basic methods used by each class of technique are presented and the contributions of individual algorithms within each class are discussed. It is the first survey that focuses on touched character segmentation and provides segmentation rates, descriptions of the test data for the approaches discussed. Finally, the main trends in the field of touched character segmentation are examined, important contributions are presented and future directions are also suggested. © Springer Science+Business Media B.V. 2011 |
abstract_unstemmed |
Abstract Character segmentation is a challenging problem in the field of optical character recognition. Presence of touched characters make this dilemma more crucial. The goal of this paper is to provide major concepts and progress in domain of off-line cursive touched character segmentation. Accordingly, two broad classes of technique are identified. These include methods that perform explicit or implicit character segmentation. The basic methods used by each class of technique are presented and the contributions of individual algorithms within each class are discussed. It is the first survey that focuses on touched character segmentation and provides segmentation rates, descriptions of the test data for the approaches discussed. Finally, the main trends in the field of touched character segmentation are examined, important contributions are presented and future directions are also suggested. © Springer Science+Business Media B.V. 2011 |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">OLC2066032808</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230502195439.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">200820s2011 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s10462-011-9271-5</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC2066032808</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-He213)s10462-011-9271-5-p</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">004</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">54.00</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Saba, Tanzila</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Methods and strategies on off-line cursive touched characters segmentation: a directional review</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2011</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Springer Science+Business Media B.V. 2011</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Character segmentation is a challenging problem in the field of optical character recognition. Presence of touched characters make this dilemma more crucial. The goal of this paper is to provide major concepts and progress in domain of off-line cursive touched character segmentation. Accordingly, two broad classes of technique are identified. These include methods that perform explicit or implicit character segmentation. The basic methods used by each class of technique are presented and the contributions of individual algorithms within each class are discussed. It is the first survey that focuses on touched character segmentation and provides segmentation rates, descriptions of the test data for the approaches discussed. 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