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ICDAR
2009
IEEE

A Character-Structure-Guided Approach to Estimating Possible Orientations of a Rotated Isolated Online Handwritten Chinese Chara

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A Character-Structure-Guided Approach to Estimating Possible Orientations of a Rotated Isolated Online Handwritten Chinese Chara
This paper presents a character-structure-guided approach to estimating possible orientations of a rotated isolated online handwritten Chinese character. Using the estimated orientations, the original distorted sample can be transformed to a normal position, which can be recognized more accurately by using a classifier trained from normal-position samples. The effectiveness of this approach is demonstrated by recognizing rotated samples generated artificially from the popular Nakayosi and Kuchibue Japanese character databases, with average recognition accuracies of 96.05%, 97.35% and 99.13% on top-6, top-12, and top-100 candidates, respectively.
Tingting He, Qiang Huo
Added 18 Feb 2011
Updated 18 Feb 2011
Type Journal
Year 2009
Where ICDAR
Authors Tingting He, Qiang Huo
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