Kim et al., 1997 - Google Patents
On-line recognition of handwritten Chinese characters based on hidden Markov modelsKim et al., 1997
- Document ID
- 12104479725468977292
- Author
- Kim H
- Kim K
- Kim S
- Lee J
- Publication year
- Publication venue
- Pattern Recognition
External Links
Snippet
Difficulties in Chinese character recognition due to numerous strokes usually warped into a cursive form and a much larger set of characters. In this paper, we propose a hidden Markov model (HMM) based recognition model that deals efficiently with these recognition …
- 238000000034 method 0 abstract description 25
Classifications
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- G06K9/20—Image acquisition
- G06K9/22—Image acquisition using hand-held instruments
- G06K9/222—Image acquisition using hand-held instruments the instrument generating sequences of position coordinates corresponding to handwriting; preprocessing or recognising digital ink
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- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/68—Methods or arrangements for recognition using electronic means using sequential comparisons of the image signals with a plurality of references in which the sequence of the image signals or the references is relevant, e.g. addressable memory
- G06K9/6807—Dividing the references in groups prior to recognition, the recognition taking place in steps; Selecting relevant dictionaries
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- G—PHYSICS
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- G10L15/00—Speech recognition
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