Title :
A Character-Structure-Guided Approach to Estimating Possible Orientations of a Rotated Isolated Online Handwritten Chinese Character
Author :
He, Tingting ; Huo, Qiang
Author_Institution :
Dept. of Comput. Sci., Univ. of Hong Kong, Hong Kong, China
Abstract :
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.
Keywords :
feature extraction; handwritten character recognition; natural language processing; Kuchibue Japanese character database; Nakayosi Japanese character database; character recognition; character-structure-guided approach; rotated isolated online handwritten Chinese character; Asia; Character generation; Character recognition; Computer science; Databases; Feature extraction; Handwriting recognition; Histograms; Text analysis; Writing; Chinese character structure; handwriting recognition; orientation estimation;
Conference_Titel :
Document Analysis and Recognition, 2009. ICDAR '09. 10th International Conference on
Conference_Location :
Barcelona
Print_ISBN :
978-1-4244-4500-4
Electronic_ISBN :
1520-5363
DOI :
10.1109/ICDAR.2009.84
