Handwritten Chinese character analysis and preclassification using stroke structural sequence

A unique stroke ordering for handwritten Chinese characters is desirable in many applications including efficient character recognition and automatic radical extraction. Although there are some rules or conventions for writing Chinese characters, yet no consistent and complete rule set is available....

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Bibliographic Details
Main Authors: Zen Chen, Chi-Wei Lee, Rei-Heng Cheng
Format: Conference Proceeding
Language:English
Subjects:
Application software
Character recognition
Computer science
Data mining
Dictionaries
Handwriting recognition
Humans
Shape
Writing
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Summary:A unique stroke ordering for handwritten Chinese characters is desirable in many applications including efficient character recognition and automatic radical extraction. Although there are some rules or conventions for writing Chinese characters, yet no consistent and complete rule set is available. Besides special radical knowledge is often needed. It is the purpose of this paper to propose a set of rules for stroke ordering for producing a unique stroke sequence for Chinese characters. It requires no special radical knowledge or knowledge of character block layouts, so it is easy for machine implementation. Moreover, the stroke sequences derived are similar to those given in the dictionary, if not the same. To deal with the writing, variations among writers, we generalize the derived stroke structure sequence to obtain a more consistent stroke information. This generalized stroke structural sequence can be used in the handwritten Chinese character preclassification. Experiments showing applications of our method are reported.
ISSN:1051-4651
2831-7475
DOI:10.1109/ICPR.1996.546800