Identification of scripts and orientations of degraded document images
Abstract Document scripts and document orientations are important information for the document digitalization. Prior work has been reported to identify document scripts and document orientations, whereas most reported methods are very sensitive to document skew and low image resolution. This paper r...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Lu, Shijian [verfasserIn] Li, Linlin [verfasserIn] Tan, Chew Lim [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2009 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Pattern Analysis & Applications - Springer-Verlag, 1999, 13(2009), 4 vom: 12. Nov., Seite 469-475 |
|---|---|
| Übergeordnetes Werk: |
volume:13 ; year:2009 ; number:4 ; day:12 ; month:11 ; pages:469-475 |
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| DOI / URN: |
10.1007/s10044-009-0169-7 |
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| 520 | |a Abstract Document scripts and document orientations are important information for the document digitalization. Prior work has been reported to identify document scripts and document orientations, whereas most reported methods are very sensitive to document skew and low image resolution. This paper reports a document script and document orientation identification method that addresses this issue by converting a document image into a pair of document vectors using the density and distribution of character strokes. Experiments over 3,024 document images of 12 scripts show that the proposed methods are accurate and tolerant to various types of document degradation. | ||
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10.1007/s10044-009-0169-7 doi (DE-627)SPR008212376 (SPR)s10044-009-0169-7-e DE-627 ger DE-627 rakwb eng Lu, Shijian verfasserin aut Identification of scripts and orientations of degraded document images 2009 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Document scripts and document orientations are important information for the document digitalization. Prior work has been reported to identify document scripts and document orientations, whereas most reported methods are very sensitive to document skew and low image resolution. This paper reports a document script and document orientation identification method that addresses this issue by converting a document image into a pair of document vectors using the density and distribution of character strokes. Experiments over 3,024 document images of 12 scripts show that the proposed methods are accurate and tolerant to various types of document degradation. Document image analysis (dpeaa)DE-He213 Document script identification (dpeaa)DE-He213 Document orientation identification (dpeaa)DE-He213 Li, Linlin verfasserin aut Tan, Chew Lim verfasserin aut Enthalten in Pattern Analysis & Applications Springer-Verlag, 1999 13(2009), 4 vom: 12. Nov., Seite 469-475 (DE-627)SPR008209189 nnns volume:13 year:2009 number:4 day:12 month:11 pages:469-475 https://dx.doi.org/10.1007/s10044-009-0169-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 13 2009 4 12 11 469-475 |
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10.1007/s10044-009-0169-7 doi (DE-627)SPR008212376 (SPR)s10044-009-0169-7-e DE-627 ger DE-627 rakwb eng Lu, Shijian verfasserin aut Identification of scripts and orientations of degraded document images 2009 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Document scripts and document orientations are important information for the document digitalization. Prior work has been reported to identify document scripts and document orientations, whereas most reported methods are very sensitive to document skew and low image resolution. This paper reports a document script and document orientation identification method that addresses this issue by converting a document image into a pair of document vectors using the density and distribution of character strokes. Experiments over 3,024 document images of 12 scripts show that the proposed methods are accurate and tolerant to various types of document degradation. Document image analysis (dpeaa)DE-He213 Document script identification (dpeaa)DE-He213 Document orientation identification (dpeaa)DE-He213 Li, Linlin verfasserin aut Tan, Chew Lim verfasserin aut Enthalten in Pattern Analysis & Applications Springer-Verlag, 1999 13(2009), 4 vom: 12. Nov., Seite 469-475 (DE-627)SPR008209189 nnns volume:13 year:2009 number:4 day:12 month:11 pages:469-475 https://dx.doi.org/10.1007/s10044-009-0169-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 13 2009 4 12 11 469-475 |
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10.1007/s10044-009-0169-7 doi (DE-627)SPR008212376 (SPR)s10044-009-0169-7-e DE-627 ger DE-627 rakwb eng Lu, Shijian verfasserin aut Identification of scripts and orientations of degraded document images 2009 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Document scripts and document orientations are important information for the document digitalization. Prior work has been reported to identify document scripts and document orientations, whereas most reported methods are very sensitive to document skew and low image resolution. This paper reports a document script and document orientation identification method that addresses this issue by converting a document image into a pair of document vectors using the density and distribution of character strokes. Experiments over 3,024 document images of 12 scripts show that the proposed methods are accurate and tolerant to various types of document degradation. Document image analysis (dpeaa)DE-He213 Document script identification (dpeaa)DE-He213 Document orientation identification (dpeaa)DE-He213 Li, Linlin verfasserin aut Tan, Chew Lim verfasserin aut Enthalten in Pattern Analysis & Applications Springer-Verlag, 1999 13(2009), 4 vom: 12. Nov., Seite 469-475 (DE-627)SPR008209189 nnns volume:13 year:2009 number:4 day:12 month:11 pages:469-475 https://dx.doi.org/10.1007/s10044-009-0169-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 13 2009 4 12 11 469-475 |
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10.1007/s10044-009-0169-7 doi (DE-627)SPR008212376 (SPR)s10044-009-0169-7-e DE-627 ger DE-627 rakwb eng Lu, Shijian verfasserin aut Identification of scripts and orientations of degraded document images 2009 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Document scripts and document orientations are important information for the document digitalization. Prior work has been reported to identify document scripts and document orientations, whereas most reported methods are very sensitive to document skew and low image resolution. This paper reports a document script and document orientation identification method that addresses this issue by converting a document image into a pair of document vectors using the density and distribution of character strokes. Experiments over 3,024 document images of 12 scripts show that the proposed methods are accurate and tolerant to various types of document degradation. Document image analysis (dpeaa)DE-He213 Document script identification (dpeaa)DE-He213 Document orientation identification (dpeaa)DE-He213 Li, Linlin verfasserin aut Tan, Chew Lim verfasserin aut Enthalten in Pattern Analysis & Applications Springer-Verlag, 1999 13(2009), 4 vom: 12. Nov., Seite 469-475 (DE-627)SPR008209189 nnns volume:13 year:2009 number:4 day:12 month:11 pages:469-475 https://dx.doi.org/10.1007/s10044-009-0169-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER AR 13 2009 4 12 11 469-475 |
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Abstract Document scripts and document orientations are important information for the document digitalization. Prior work has been reported to identify document scripts and document orientations, whereas most reported methods are very sensitive to document skew and low image resolution. This paper reports a document script and document orientation identification method that addresses this issue by converting a document image into a pair of document vectors using the density and distribution of character strokes. Experiments over 3,024 document images of 12 scripts show that the proposed methods are accurate and tolerant to various types of document degradation. |
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Abstract Document scripts and document orientations are important information for the document digitalization. Prior work has been reported to identify document scripts and document orientations, whereas most reported methods are very sensitive to document skew and low image resolution. This paper reports a document script and document orientation identification method that addresses this issue by converting a document image into a pair of document vectors using the density and distribution of character strokes. Experiments over 3,024 document images of 12 scripts show that the proposed methods are accurate and tolerant to various types of document degradation. |
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Abstract Document scripts and document orientations are important information for the document digitalization. Prior work has been reported to identify document scripts and document orientations, whereas most reported methods are very sensitive to document skew and low image resolution. This paper reports a document script and document orientation identification method that addresses this issue by converting a document image into a pair of document vectors using the density and distribution of character strokes. Experiments over 3,024 document images of 12 scripts show that the proposed methods are accurate and tolerant to various types of document degradation. |
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