Vector-to-Image Transformation of Character Patterns for On-line and Off-line Recognition.
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| Title: | Vector-to-Image Transformation of Character Patterns for On-line and Off-line Recognition. |
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| Authors: | Velek, Ondřej, Nakagawa, Masaki, Liu, Cheng-Lin |
| Source: | International Journal of Computer Processing of Oriental Languages. Jun2002, Vol. 15 Issue 2, p187. 23p. |
| Subjects: | Character sets (Data processing), Pattern recognition systems |
| Abstract: | This paper proposes a method to generate realistic character images from on-line patterns. From the pen trajectory of an on-line pattern, the proposed method generates images of various stroke shapes using four painting modes: constant line mode, proportional mode and two calligraphic modes. Particularly, the calligraphic modes combine the pen trajectory with real stroke-shape images so that the generated images resemble the characters produced with brush pen. In the calligraphic painting mode based on primitive stroke identification (PSI), the strokes of on-line patterns are classified into different classes and each class of strokes is painted with the corresponding stroke shape template; while in the calligraphic painting mode based on stroke component classification (SCC), each stroke is decomposed into ending, bending and connecting parts, and each part is painted with a stroke shape template. Decomposing strokes into parts is helpful to deal with connected strokes in cursive writing. Our method of image transformation serves two purposes: supplying image samples for off-line recognition, and application of off-line recognition methods to on-line recognition. The experimental results show that our methods are well suited for both purposes. We show that calligraphic painting mode is appropriate for offline recognition while constant line mode and proportional mode are appropriate for on-line recognition. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Computer Processing of Oriental Languages is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 9278350 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Vector-to-Image Transformation of Character Patterns for On-line and Off-line Recognition. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Velek%2C+Ondřej%22">Velek, Ondřej</searchLink><br /><searchLink fieldCode="AR" term="%22Nakagawa%2C+Masaki%22">Nakagawa, Masaki</searchLink><br /><searchLink fieldCode="AR" term="%22Liu%2C+Cheng-Lin%22">Liu, Cheng-Lin</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Computer+Processing+of+Oriental+Languages%22">International Journal of Computer Processing of Oriental Languages</searchLink>. Jun2002, Vol. 15 Issue 2, p187. 23p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Character+sets+%28Data+processing%29%22">Character sets (Data processing)</searchLink><br /><searchLink fieldCode="DE" term="%22Pattern+recognition+systems%22">Pattern recognition systems</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This paper proposes a method to generate realistic character images from on-line patterns. From the pen trajectory of an on-line pattern, the proposed method generates images of various stroke shapes using four painting modes: constant line mode, proportional mode and two calligraphic modes. Particularly, the calligraphic modes combine the pen trajectory with real stroke-shape images so that the generated images resemble the characters produced with brush pen. In the calligraphic painting mode based on primitive stroke identification (PSI), the strokes of on-line patterns are classified into different classes and each class of strokes is painted with the corresponding stroke shape template; while in the calligraphic painting mode based on stroke component classification (SCC), each stroke is decomposed into ending, bending and connecting parts, and each part is painted with a stroke shape template. Decomposing strokes into parts is helpful to deal with connected strokes in cursive writing. Our method of image transformation serves two purposes: supplying image samples for off-line recognition, and application of off-line recognition methods to on-line recognition. The experimental results show that our methods are well suited for both purposes. We show that calligraphic painting mode is appropriate for offline recognition while constant line mode and proportional mode are appropriate for on-line recognition. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Computer Processing of Oriental Languages is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 23 StartPage: 187 Subjects: – SubjectFull: Character sets (Data processing) Type: general – SubjectFull: Pattern recognition systems Type: general Titles: – TitleFull: Vector-to-Image Transformation of Character Patterns for On-line and Off-line Recognition. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Velek, Ondřej – PersonEntity: Name: NameFull: Nakagawa, Masaki – PersonEntity: Name: NameFull: Liu, Cheng-Lin IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2002 Type: published Y: 2002 Identifiers: – Type: issn-print Value: 02194279 Numbering: – Type: volume Value: 15 – Type: issue Value: 2 Titles: – TitleFull: International Journal of Computer Processing of Oriental Languages Type: main |
| ResultId | 1 |
