Title :
Modified Two-Class LDA Based Compound Distance for Similar Handwritten Chinese Characters Discrimination
Author :
Shao, Yunxue ; Wang, Chunheng ; Xiao, Baihua ; Zhang, Rongguo ; Zhang, Linbo
Author_Institution :
Key Lab. of Complex Syst. & Intell. Sci., Beijing, China
Abstract :
This paper proposes a modified two-class LDA based compound distance for similar handwritten Chinese characters discrimination. First the definition of the Intersecting Subspace (IS) between two classes and the modified between-class scatter matrix is given. Then we prove that the modified between-class scatter matrix can supply additional information. Our experiments demonstrate that the additional information can be used to discriminate points in the IS and the proposed method outperforms the previous LDA based method.
Keywords :
S-matrix theory; handwritten character recognition; intersecting subspace; modified between-class scatter matrix; modified two-class LDA based compound distance; similar handwritten Chinese character discrimination; Accuracy; Character recognition; Compounds; Covariance matrix; Feature extraction; Vectors; compound distance; intersecting subspace; modified two-class linear discriminant analyse; similar handwritten Chinese character;
Conference_Titel :
Document Analysis and Recognition (ICDAR), 2011 International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4577-1350-7
Electronic_ISBN :
1520-5363
DOI :
10.1109/ICDAR.2011.137