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...

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Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on pattern analysis and machine intelligence. - 1979. - 44(2022), 12 vom: 26. Dez., Seite 8846-8860
1. Verfasser: Kang, Lei (VerfasserIn)
Weitere Verfasser: Riba, Pau, Rusinol, Marcal, Fornes, Alicia, Villegas, Mauricio
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2022
Zugriff auf das übergeordnete Werk:IEEE transactions on pattern analysis and machine intelligence
Schlagworte:Journal Article Research Support, Non-U.S. Gov't