Content and Style Aware Generation of Text-Line Images for Handwriting Recognition
Handwritten Text Recognition has achieved an impressive performance in public benchmarks. However, due to the high inter- and intra-class variability between handwriting styles, such recognizers need to be trained using huge volumes of manually labeled training data. To alleviate this labor-consumin...
Ausführliche Beschreibung
Bibliographische Detailangaben
Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 44(2022), 12 vom: 26. Dez., Seite 8846-8860
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1. Verfasser: |
Kang, Lei
(VerfasserIn) |
Weitere Verfasser: |
Riba, Pau,
Rusinol, Marcal,
Fornes, Alicia,
Villegas, Mauricio |
Format: | Online-Aufsatz
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Sprache: | English |
Veröffentlicht: |
2022
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Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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Schlagworte: | Journal Article
Research Support, Non-U.S. Gov't |