Markov random field-based statistical character structure modeling for handwritten Chinese character recognition
This paper proposes a statistical-structural character modeling method based on Markov random fields (MRFs) for handwritten Chinese character recognition (HCCR). The stroke relationships of a Chinese character reflect its structure, which can be statistically represented by the neighborhood system a...
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1998. - 30(2008), 5 vom: 29. Mai, Seite 767-80 |
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| Format: | Online-Aufsatz |
| Sprache: | English |
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2008
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence |
| Schlagworte: | Evaluation Study Journal Article |
| Online verfügbar |
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