DocumentCode :
1798763
Title :
Chinese characters recognition via Racah moments
Author :
Yexiao Wu ; Liao, Shengcai
Author_Institution :
Appl. Comput. Sci., Univ. of Winnipeg, Winnipeg, MB, Canada
fYear :
2014
fDate :
7-9 July 2014
Firstpage :
691
Lastpage :
694
Abstract :
With the development of the moment technology, the moment descriptors have been used in many applications in the field of object recognition. In recent years, discrete orthogonal moments have been studied and proposed in moment applications as features to characterize image shapes. In this paper, a set of Racah moment based feature vectors is proposed for a Chinese character recognition system. The experimental results demonstrate that the proposed Racah moment feature vectors can effectively recognize Chinese characters, including the Chinese characters that have very similar structures and shapes.
Keywords :
character recognition; feature extraction; object recognition; Chinese character recognition; Chinese characters recognition; Racah moment based feature vectors; Racah moment feature vectors; Racah moments; discrete orthogonal moments; image shape characterization; moment descriptors; moment technology; object recognition; Character recognition; Image analysis; Method of moments; Object recognition; Polynomials; Shape; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Audio, Language and Image Processing (ICALIP), 2014 International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4799-3902-2
Type :
conf
DOI :
10.1109/ICALIP.2014.7009883
Filename :
7009883
Link To Document :
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