Robust handwriting recognition techniques
In this thesis, novel solutions to the construction of robust handwriting classifiers are proposed with a view in novel preprocessing, feature extractions and multi-experts classification to improve performance.
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| Format: | Theses and Dissertations |
| Published: |
2008
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| Online Access: | http://hdl.handle.net/10356/2423 |
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| Institution: | Nanyang Technological University |