UM
Multi-layer projections for the classification of similar Chinese characters
Wang Kai; Tang Yuan Y.; Suen Ching Y.
1988-12-01
Source PublicationProceedings - International Conference on Pattern Recognition
Pages842-844
AbstractAn algorithm is presented of extracting features from Chinese characters. These features consist of the Fourier spectrum of projections obtained from multiple-layers of annular partitions. This method takes into consideration the square shape of Chinese characters so that the extracted features contain the significant information of the different parts the character, and are insensitive to rotation and linear displacement. For the experiments, 97 similar Chinese characters were selected from the most frequently used characters. These characters were divided into 34 groups according to similarity in shape. Three different fonts of Chinese characters (Song, Kai and Bold face) were used. Four additional symbols were also included to study the effects of character symmetry on the proposed algorithm. Experimental results indicate that for any displacement and for rotations in the range of (-180°, +180°), this method can separate without exception all similar Chinese characters including the complex ones.
URLView the original
Language英語
Fulltext Access
Document TypeConference paper
CollectionUniversity of Macau
AffiliationUniversite Concordia
Recommended Citation
GB/T 7714
Wang Kai,Tang Yuan Y.,Suen Ching Y.. Multi-layer projections for the classification of similar Chinese characters[C],1988:842-844.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Wang Kai]'s Articles
[Tang Yuan Y.]'s Articles
[Suen Ching Y.]'s Articles
Baidu academic
Similar articles in Baidu academic
[Wang Kai]'s Articles
[Tang Yuan Y.]'s Articles
[Suen Ching Y.]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Wang Kai]'s Articles
[Tang Yuan Y.]'s Articles
[Suen Ching Y.]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.