Toward automatic development of handwritten personal Farsi/Arabic OpenType $$^{\textregistered }$$ ® fonts
| Autor: | Kazim Fouladi, Babak Nadjar Araabi |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
business.industry
Arabic Computer science OpenType Glyph computer.file_format computer.software_genre File format language.human_language Computer Science Applications Metric (mathematics) Font Pattern recognition (psychology) ComputingMethodologies_DOCUMENTANDTEXTPROCESSING language Computer Vision and Pattern Recognition Artificial intelligence business computer Software Natural language processing Unicode font |
| Zdroj: | International Journal on Document Analysis and Recognition (IJDAR). 18:249-262 |
| ISSN: | 1433-2825 1433-2833 |
| DOI: | 10.1007/s10032-015-0241-3 |
| Popis: | The interest in personalized handwritten fonts has been increased in recent years. This paper concerns with the automatic generation of Farsi/Arabic handwritten fonts. To reach this target, we need to extract the properties of the writer's script style. The "glyphs" (simple characters or ligatures) of the writer's script are extracted from the basic subwords. The basic subwords are acquired from a writer using tabular sheets. A learning method is used in extraction phase. After glyph extraction, four important steps are performed automatically: (a) adjusting glyphs joints and baselines (b) computing metric data, (c) locating dots, and (d) computing kerning pairs. Finally, the gathered information is compiled in an OpenType$$^{\textregistered }$$® font file structure to generate a computer font, which can be used in any computer application. The results seem visually acceptable. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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