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231223s2006 xx ||||| 00| ||eng c |
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|a DE-627
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|e rakwb
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| 041 |
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|a eng
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| 100 |
1 |
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|a Zimmermann, Matthias
|e verfasserin
|4 aut
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| 245 |
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|a Offline grammar-based recognition of handwritten sentences
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|c 2006
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| 336 |
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|a Text
|b txt
|2 rdacontent
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| 337 |
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|a ohne Hilfsmittel zu benutzen
|b n
|2 rdamedia
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| 338 |
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|a Band
|b nc
|2 rdacarrier
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| 500 |
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|a Date Completed 23.05.2006
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|a Date Revised 01.12.2018
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|a published: Print
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|a Citation Status MEDLINE
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|a This paper proposes a sequential coupling of a Hidden Markov Model (HMM) recognizer for offline handwritten English sentences with a probabilistic bottom-up chart parser using Stochastic Context-Free Grammars (SCFG) extracted from a text corpus. Based on extensive experiments, we conclude that syntax analysis helps to improve recognition rates significantly
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| 650 |
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|a Journal Article
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| 650 |
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|a Research Support, Non-U.S. Gov't
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| 700 |
1 |
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|a Chappelier, Jean-Cédric
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Bunke, Horst
|e verfasserin
|4 aut
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| 773 |
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8 |
|i Enthalten in
|t IEEE transactions on pattern analysis and machine intelligence
|d 1979
|g 28(2006), 5 vom: 12. Mai, Seite 818-21
|w (DE-627)NLM098212257
|x 1939-3539
|7 nnns
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| 773 |
1 |
8 |
|g volume:28
|g year:2006
|g number:5
|g day:12
|g month:05
|g pages:818-21
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| 912 |
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|d 28
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